Conformal Prediction: The Definitive Resource

⭐ The definitive resource for conformal prediction: methods, libraries, tutorials, benchmarks, and production guides.

🔥 Updated regularly with the latest conformal prediction research (2025–2026). The canonical repository for conformal prediction, maintained by a leading researcher in the field — used by researchers, practitioners, and production teams worldwide.

Topics covered: conformal prediction · conformal inference · prediction intervals · uncertainty quantification · model calibration · distribution-free inference · selective prediction · trustworthy machine learning · LLM uncertainty · time series forecasting · anomaly detection

Conformal prediction (also called conformal inference) is a distribution-free, model-agnostic framework for quantifying predictive uncertainty. Instead of returning a single point prediction, a conformal predictor returns a prediction set (for classification) or a prediction interval (for regression) that is guaranteed to contain the true label with a user-chosen probability — for example 90% or 95% — under the mild assumption that the data are exchangeable. These guarantees hold in finite samples, for any underlying model (random forests, gradient boosting, deep neural networks, large language models), and without any distributional assumptions.

🧭 New here? Follow this path

Step	What to do	Where to look
1	Understand the core idea in 10 minutes	Tutorials
2	Watch a 30-minute talk	Videos and Talks
3	Read a gentle introduction	Articles
4	Try it in code	Libraries in Python · Quickstart
5	Go deep	Courses · Books · Papers

📘 Learn from the Experts — Book & Course by Dr. Valeriy Manokhin

🎓 Applied Conformal Prediction — Live Course on Maven

A hands-on, cohort-based course taught by Dr. Valeriy Manokhin (PhD, Machine Learning; author of Practical Guide to Applied Conformal Prediction; PhD student of Prof. Vladimir Vovk — the creator of conformal prediction).

You will learn how to apply conformal prediction to regression, classification, time series, anomaly detection, and LLM uncertainty, with production-ready Python code and real datasets.

🔥 Enroll in the next cohort → 📩 Register interest for upcoming cohorts →

📚 Applied Conformal Prediction — The Book

The definitive practitioner's book on conformal prediction — from first principles to industry-grade applications, with code you can run today. Written by Dr. Valeriy Manokhin.

🚀 Applied Conformal Prediction — Pro Edition ⭐ Recommended The most comprehensive edition: extended chapters, advanced methods, and production-grade code.

📘 Applied Conformal Prediction — Standard Edition The core book covering regression, classification, time series, anomaly detection, and LLM uncertainty.

Both editions are available exclusively on Gumroad.

🌐 valeriy.ai — author's website with research, papers, and updates.

"The most comprehensive practical resource on conformal prediction currently available."

What is Conformal Prediction?

Conformal prediction wraps any predictive model and converts its outputs into statistically valid prediction sets or intervals. The recipe is simple:

Train any model on a training set.
Score a held-out calibration set with a nonconformity function (e.g. absolute residual for regression, 1 − softmax for classification).
At test time, output every label whose nonconformity score is no worse than the (1 − α) quantile of the calibration scores.

The resulting prediction set is guaranteed to cover the true label with probability at least 1 − α, regardless of the model or the data distribution. This makes conformal prediction one of the most practical tools for uncertainty quantification, trustworthy machine learning, selective prediction, and safe deployment of AI systems.

Quickstart

A minimal end-to-end example using crepes:

import numpy as np
from crepes import ConformalRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import fetch_california_housing
from sklearn.model_selection import train_test_split

X, y = fetch_california_housing(return_X_y=True)
X_train, X_rest, y_train, y_rest = train_test_split(X, y, test_size=0.4, random_state=0)
X_cal,  X_test, y_cal,  y_test  = train_test_split(X_rest, y_rest, test_size=0.5, random_state=0)

model = RandomForestRegressor(n_estimators=200, random_state=0).fit(X_train, y_train)
residuals_cal = np.abs(y_cal - model.predict(X_cal))

cr = ConformalRegressor().fit(residuals=residuals_cal)
intervals = cr.predict(y_hat=model.predict(X_test), confidence=0.9)  # 90% intervals

Runnable notebooks live in examples/. See CONTRIBUTING.md to add resources.

About this list

This collection is curated by Dr. Valeriy Manokhin, who completed his PhD in Machine Learning under the supervision of Prof. Vladimir Vovk — the creator of conformal prediction. It is the culmination of resources gathered since 2015. Conformal prediction has gone from a niche framework to a mainstream method for uncertainty quantification, with dedicated tracks at ICML 2021 and ICML 2022, a NeurIPS 2022 keynote 'Conformal Prediction in 2022' by Prof. Emmanuel Candes, and the long-running COPA conference.

"Conformal Prediction ideas are THE answer to UQ, I think it's the best I have seen — its simple, generalisable etc." — Prof. Michael I. Jordan, ICML 2021

"The beauty of the conformal thing is how simple it is to do it and how general it is." — Prof. Larry Wasserman, Carnegie Mellon

"Conformal inference methods are becoming all the rage in academia and industry alike." — Prof. Emmanuel Candes, Stanford

The author's course 'Applied Conformal Prediction' is open for enrollment on Maven — enroll in the next cohort or register interest. The companion book 'Applied Conformal Prediction: Reliable Uncertainty Quantification for Real-World Machine Learning' is available on Gumroad.

Citation

@software{manokhin_valery_2022_6467204,
  author  = {Manokhin, Valery},
  title   = {Awesome Conformal Prediction},
  month   = apr,
  year    = 2022,
  publisher = {Zenodo},
  version = {v1.0.0},
  doi     = {10.5281/zenodo.6467204},
  url     = {https://doi.org/10.5281/zenodo.6467204}
}

Licensed CC BY-NC-ND 4.0. Academic work must cite.

💬 Open Questions in Conformal Prediction

These are active research and practitioner questions — contributions, discussion, and PRs welcome:

What is the best conformal prediction library today for production use?
Are transformers and LLMs fully compatible with conformal prediction guarantees?
How should practitioners handle distribution shift and covariate drift in practice?
What are the tightest known prediction intervals for deep learning models?
How do conformal methods compare with Bayesian uncertainty quantification on modern benchmarks?

👉 Open a discussion or issue to contribute.

🚀 Start Here — Learn Conformal Prediction

Conformal Prediction Tutorials

Conformal Prediction Tutorial by Henrik Linusson (2021) 🔥🔥🔥🔥
Predicting with Confidence - Henrik Boström by Henrik Boström (2016) 🔥🔥🔥🔥
Henrik Linusson: Conformal Prediction by Henrik Linusson (2020) 🔥🔥🔥🔥
A Tutorial on Conformal Prediction by Glenn Shafer and Vladimir Vovk (2008) 🔥🔥🔥🔥🔥
Tutorial on Venn-ABERS prediction by Paolo Toccaceli (Royal Holloway, UK, 2019) 🔥🔥🔥🔥🔥
An Introduction to Conformal Prediction by Henrik Linusson (2017) 🔥🔥🔥🔥
Conformal prediction A Tiny Tutorial on Predicting with Confidence by Henrik Linusson and Ulf Johansson (2014) 🔥🔥🔥🔥
A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (2020) 🔥🔥🔥
Venn Predictors Tutorial by Ulf Johansson, Cecilia Sönströd, Tuve Löfström, and Henrik Boström (2021) 🔥🔥🔥🔥
Ulf Johansson: Venn Predictors by Ulf Johansson (2020) 🔥🔥🔥🔥
Conformal prediction A Tiny Tutorial on Predicting with Confidence by Henrik Linusson and Ulf Johansson (2014)
Conformal Prediction and Venn Predictors A Tutorial on Predicting with Confidence by Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström, Alex Gammerman (2019) 🔥🔥🔥🔥🔥
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos and Stephen Bates (2021) Video Code 🔥🔥🔥🔥
Introduction to Conformal Prediction by Vineeth N Balasubramanian (Indian Institue of Technology, Hyderabad, 2015)
Conformal Prediction in Spark by Marco Capuccini (Uppsala University, 2017)
Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, USC, 2022) 🔥🔥🔥🔥🔥
Distribution-free inference tutorial At the IFDS 2021 Summer School Video 1 Video 2
Conformal Inference Tutorial by Ben Kompa (2020)
Uncertainty Quantification (1): Enter Conformal Predictors by Mahdi Torabi Rad (2023) 🔥🔥🔥
Uncertainty Quantification (2): Full Conformal Predictors by Mahdi Torabi Rad (2023) 🔥🔥🔥🔥
Uncertainty Quantification (3): From Full to Split Conformal Methods by Mahdi Torabi Rad (2023) 🔥🔥🔥🔥🔥
Conformal Prediction in Genomics by BiolApps (2023)
Conformal Prediction: A Visual Introduction in VISxAI by Mihir Agarwal, Lalit Chandra Routhu, Zeel B Patel and Nipun Batra (IIT Gandhinagar, IIT Patna, 2023)
Conformal Predictions from Scratch in Numpy by Jones Wacker (2023) 🔥🔥🔥🔥🔥
A Tutorial on Distribution-Free Uncertainty Quantification Using Conformal Prediction (psychology) by Tim Kaiser and Philipp Herzog (Freie Universität Berlin, RPTU University Kaiserslautern-Landau, Germany, 2025).

Conformal Prediction Courses

Applied Conformal Prediction course starts in May 2024! 🔥🔥🔥🔥🔥
Uncertain: Modern topics in uncertainty estimation YouTube Course notes by Aaron Roth (University of Pennsylvania, 2022) 🔥🔥🔥🔥🔥
Topics in Modern Statistical Learning by Edgar Dobriban (Wharton School, University of Pennsylvania, 2022) 🔥🔥🔥🔥🔥
Theory of Statistics Stanford Statistics course by Prof Emmanuel Candes (2022) 🔥🔥🔥🔥🔥
36-708 Statistical Methods for Machine Learning Carnegie-Mellon course by Prof Larry Wasserman (2022)
Course on Conformal Prediction by Christoph Molnar (2022)
Conformal Prediction - Advanced Topics in Statistical Learning, Spring 2023 by Ryan Tibshirani (2023) 🔥🔥🔥🔥🔥
Conformal Methods for Efficient and Reliable Deep Learning by Adam, Fisch (MIT, 2023) 🔥🔥🔥🔥🔥
Conformal Prediction 101 - in Portuguese 🇵🇹 by Gustavo Bruschi (2023) 🔥🔥🔥🔥🔥

Books on Conformal Prediction

Applied Conformal Prediction — Pro Edition by Dr. Valeriy Manokhin ⭐ Recommended — the most comprehensive edition with extended chapters, advanced methods, and production-grade code. 🔥🔥🔥🔥🔥🚀🚀🚀🚀🚀
Applied Conformal Prediction — Standard Edition by Dr. Valeriy Manokhin — the core book covering regression, classification, time series, anomaly detection, and LLM uncertainty. 🔥🔥🔥🔥🔥
Algorithmic Learning in a Random World by Vladimir Vovk, Alex Gammerman, and Glenn Shafer (2022, Second edition). 🔥🔥🔥🔥🔥 Great theory-based book, very math heavy, no applications, no code.
Conformal Prediction for Reliable Machine Learning by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk (2014). Older book, largely out of date, no code.

Articles on Conformal Prediction

Measuring Models' Uncertainty: Conformal Prediction by Leo Dreyfus-Schmidt (Dataiku, 2020). 🔥🔥🔥🔥🔥
Conformal Prediction for Neural Regression Model by Pranab Ghosh (2021). 🔥🔥🔥🔥🔥
How to Handle Uncertainty in Forecasts by Michael Berk (2021)
How to Add Uncertainty Estimation to your Models with Conformal Prediction by Zachary Warnes (2021)
nonconformist: An easy way to estimate prediction intervals by Maria Jesus Ugarte (2021).
Detecting Weird Data: Conformal Anomaly Detection by Matthew Burruss (2020).
How to Predict Risk-Proportional Intervals with Conformal Quantile Regression by Samuele Mazzanti (2022). 🔥🔥🔥🔥🔥
Stanford statisticians and Washington Post data scientists build more honest prediction models Stanford (2021) 🔥🔥🔥🔥🔥
How to Detect Anomalies — state-of-the-art methods using Conformal Prediction by Valery Manokhin (2021) 🔥🔥🔥🔥🔥
How to calibrate your classifier in an intelligent way by Valery Manokhin (2022) 🔥🔥🔥🔥🔥
How to predict full probability distribution using machine learning Conformal Predictive Distributions by Valery Manokhin (2022) 🔥🔥🔥🔥🔥
How to predict quantiles in a more intelligent way (or ‘Bye-bye quantile regression, hello Conformal Quantile Regression by Valery Manokhin (2022) 🔥🔥🔥🔥🔥
Conformal Prediction in Julia, Part I - Introduction by Patrick Altmeyer (2022)
How to Conformalize a Deep Image Classifier by Patrick Altmeyer (2022)
Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022)
Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier by Patrick Altmeyer (2022)
Conformal Prediction in Julia, Part III - Prediction intervals for any regression model by Patrick Altmeyer (2022)
Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need by Marco Cerliani (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
TQA: Creating Valid Prediction Intervals for Cross-sectional Time Series Regression by Zhen Lin (UIUC, NeurIPS’22 paper) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Prediction: A Critic to Predictive Models (2023)
Multi-horizon Probabilistic Forecasting with Conformal Prediction and NeuralProphet by Valery Manokhin TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Putting clear bounds on uncertainty (MIT, 2023)
Conformal prediction theory explained by Artem Ryasik (2023)
Easy Distribution-Free Conformal Intervals for Time Series by Michael Keith (2023)
Another (Conformal) Way to Predict Probability Distributions by Harrison Hoffman (2023) 🔥🔥🔥🔥🔥
[How to use full (transductive) Conformal Prediction])(https://valeman.medium.com/how-to-use-full-transductive-conformal-prediction-7ed54dc6b72b) by Valery Manokhin (2023) 🔥🔥🔥🔥🔥
Conformal Prediction for Regression (using KNIME) by Artem Ryasik (2023)
Dynamic Conformal Intervals for any Time Series Model by Michael Keith (2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting by Marco Cerliani (2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Series of Medium articles about Conformal Prediciton (in Portuguese) by Gustavo Bruschi (2023) 🔥🔥🔥🔥🔥
Stanford statisticians and Washington Post data scientists build more honest prediction models Code 🔥🔥🔥🔥🔥
Jackknife+ — a Swiss knife of Conformal Prediction for regression by Valeriy Manokhin (2023) 🔥🔥🔥🔥🔥
Clinical AI tools must convey predictive uncertainty for each individual patient (2023)🔥🔥🔥🔥🔥
How to use Conformal Prediction by Yannick Kälber (2023) 🔥🔥🔥🔥🔥
Model Diagnostics: Prediction Uncertainty by PiML team, Wells Fargo (2023).
Make any predictor uncertainty-aware via conformal prediction by Lorenzo Maggi (2023)
Conformal predictive systems - A hands-on codeless example with KNIME by Artem Ryasik (2023) 🔥🔥🔥🔥🔥
Conformal prediction for classification - A hands-on codeless example with KNIME by Artem Ryasik (2023) 🔥🔥🔥🔥🔥
Conformalized quantile regression by Lorenzo Maggi (2024)
Leveraging conformal prediction in Python to accelerate the renewable energy transition by Inge van den Ende (2024)
Fifty (four, actually) shades of conformal prediction by Lorenzo Maggi (2024)
Use case adapted prediction intervals by means of conformal predictions and a custom non conformity score by Arnaud Capitaine (2024) 🔥🔥🔥🔥🔥
Prediction Intervals using Conformalized Quantile Regression by Vincent Wauters (2024).
Conformalized Quantile Regression for Time Series Probabilistic Forecasting by Chris Kuo (2024) 🔥🔥🔥🔥🔥
Uncertainty Quantification and Why You Should Care by Jonte Dancker (2024)
Probabilistic forecasting I: Temperature by Stephane Degeye (2024)
Predict CO2 emissions by vehicles with Conformal Prediction by Claudio Giorgio Giancaterino (2024)
Exploring Adaptive and Weighted Conformal Prediction Methods in the Presence of Covariate Shift by Peter Tettey Yamak (2024) 🔥🔥🔥🔥🔥
Embracing Uncertainty with Conformal Prediction by Robbert van Kortenhof (2024)
Tidymodels and conformal prediction by Prasanna Bhogale (2024)
Basics of conformal prediction in time series data by Prasanna Bhogale (2024)
Leveraging conformal prediction in Python to accelerate the renewable energy transition by Inge van den Ende (2025)

Conformal Prediction Videos and Talks

Treatment of Uncertainty in the Foundations of Probability by Vladimir Vovk (Royal Holloway, UK, 2017)
Large-Scale Probabilistic Prediction With and Without Validity Guarantees by Vladimir Vovk (Royal Holloway, UK, NeurIPS 2015) 🔥🔥🔥🔥🔥
Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
Protected probabilistic classification by Vladimir Vovk (Royal Holloway, UK, 2021)
Retrain or not retrain: conformal test martingales for change-point detection by Vladimir Vovk (Royal Holloway, UK, 2021) 🔥🔥🔥🔥🔥
A Tutorial on Conformal Prediction by Anastasios Angelopoulos and Stephen Bates (Berkeley, ICML 2021) 🔥🔥🔥🔥🔥
Steps Toward Trustworthy Machine Learning by Tom Dietterich (2021)
A Tutorial on Conformal Predictive Distributions by Paolo Toccaceli (Royal Holloway, UK, 2020) 🔥🔥🔥🔥🔥
Conformal Prediction Tutorial by Henrik Linusson (2021) 🔥🔥🔥🔥🔥
Henrik Linusson: Conformal Prediction by Henrik Linusson (2020)
Predicting with Confidence - Henrik Boström by Henrik Boström (2016)
How to increase certainty in predictive modeling by Emmanuel Candes (Stanford, 2021) 🔥🔥🔥🔥🔥
Recent Progress in Predictive Inference by Emmanuel Candes (Stanford, 2020) 🔥🔥🔥🔥🔥
Some recent progress in predictive inference" (Stanford) @ MAD+ by Emmanuel Candes (Stanford, 2020)
Conformal Prediction in 2020 by Emmanuel Candes (Stanford, 2020) 🔥🔥🔥🔥🔥
Assumption-free prediction intervals for black-box regression algorithms by Aaditya Ramdas (Carnegie Mellon, 2020) 🔥🔥🔥🔥🔥
Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019 by Maria Navarro (2019)
Conformal Prediction: Enhanced Method for Understanding the Prediction Quality by Artem Ryasik and Greg Landrum
Venn Predictors Tutorial by Ulf Johansson, Cecilia Sönströd, Tuwe Löfström, and Henrik Boström (2021)
Mondrian conformal predictive distributions by Henrik Boström, Ulf Johansson, and Tuwe Löfström (2021) 🔥🔥🔥🔥🔥
Calibrating Multi-Class Models by Ulf Johansson, Tuwe Löfström, and Henrik Boström (2021)
Conformal testing in a binary model situation by Vladimir Vovk (Royal Holloway, UK, 2021)
Conformal prediction in Orange by Tomaž Hočevar and Blaž Zupan (2021)
Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos Berkeley, 2021) 🔥🔥🔥🔥🔥
Conformal Prediction and Distribution-Free Calibration by Aaditya Ramdas (Carnegie Mellon, 2021) 🔥🔥🔥🔥🔥
Reliable Diagnostics by Conformal Predictors by Alexander Gammerman (Royal Holloway, UK, 2015)
Conformal Inference of Counterfactuals and Time-to-event Outcomes by Lihua Lei (Stanford, 2021)
Algo Hour – Conformal Inference of Counterfactuals and Individual Treatment Effect by Lihua Lei (Stanford, 2021)
Conformal Inference of Counterfactuals and Individual Treatment effects(Stanford) by Lihua Lei (Stanford, 2021)
Approximation to object conditional validity with inductive conformal predictors by Anthony Bellotti (University of Nottingham Ningbo, China, 2021)
Ulf Johansson: Venn Predictors by Ulf Johansson (Jönköping University, Sweden, 2021) 🔥🔥🔥🔥🔥
Transformer-based conformal predictors for paraphrase detection by Patrizio Giavannotti and Prof. Alexander Gammerman (Royal Holloway, UK, 2021)
Conformal Inference of Counterfactuals and Individual Treatment Effects by Lihua Lei (Stanford, 2020)
Model-Free Predictive Inference by Larry Wasserman (Carnegie Mellon, 2020) 🔥🔥🔥🔥🔥
Shapley-value based inductive conformal prediction by William Lopez Jaramillo (2021)
Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (2021) 🔥🔥🔥🔥🔥
Distribution-Free, Risk-Controlling Prediction Sets by Anastasios Angelopoulos (2021) 🔥🔥🔥🔥🔥
Assumption-Free, High-Dimensional Inference by Larry Wasserman (2016)
Neural Predictive Monitoring under Partial Observability by Francesca Cairolli (2021)
Conformalized Kernel Ridge Regression and Its Efficiency by Evgeny Burnaev (Skolkovo, Russia, 2015)
Fast conformal classification using influence functions by Giovanni Cherubin (Alan Turing Institute, UK, 2021)
Valid inferential models and conformal prediction by Ryan Martin (North Carolina State University, USA, 2021)
Mondrian conformal predictive distributions by Henrik Boström, Ulf Johansson and Tuwe Löfström (KTH Royal Institute of Technology, Sweden, 2021) 🔥🔥🔥🔥🔥
Evaluation of updating strategies for conformal predictive systems in the presence of extreme events by Hugo Werner, Lars Carlsson, Ernst Ahlberg and and Henrik Boström (KTH Royal Institute of Technology, Sweden, 2021)
Ulf Johansson: Venn Predictors by Ulf Johansson (Jönköping University, Sweden, 2020) 🔥🔥🔥🔥🔥
Class-wise confidence for debt prediction in real estate management by Soundouss Messoudi (2021)
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers by Marharyta Aleksandrova (2021)
Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta (Carnegie Mellon, 2020) 🔥🔥🔥🔥🔥
Panel with Michael I. Jordan, Vladimir Vovk, and Larry Wasserman, moderated by Aaditya Ramdas by Vladimir Vovk, Larry Wasserman, Michael I. Jordan, Aaditya Ramdas, ICML 2021 🔥🔥🔥🔥🔥 🔥🔥🔥🔥🔥
Black-box uncertainty - Anastasios Angelopoulos by Anastasios Angelopoulos (Berkeley, USA, 2021) 🔥🔥🔥🔥🔥
P.C. Mahalanobis Memorial Lectures 2020-21 by Vladimir Vovk (Royal Holloway, UK, 2021)
Rahul Vishwakarma: New Perspective on Machine Learning Predictions Under Uncertainty | SNIA Storage Developer Conference, Santa Clara 2019 by Rahul Vishwakarma (2019)
Fast conformal classification using influence functions by Umang Bhatt, Adrian Weller and Giovanni Cherubin (Cambridge / Alan Turinig Institute, 2021).
Recent progress in predictive inference by Emmanuel Candes, Stanford University (2022)
Conformalized Survival Analysis with Adaptive Cutoffs by Rina Foygel Barber, Zhimei Ren, Yu Gui and Rohan Hore, University of Chicago (2022)
Calibrating probabilistic hierarchical forecasts with conformal predictions by Daan Ferdinandusse (University of Amsterdam, 2022)
Michael I. Jordan on Conformal Prediction by Michael I. Jordan (Berkeley, 2022)
Distribution-free Prediction: Exchangeability and Beyond by Rina Foygel Barber (University of Chicago, 2022)
Purdue Statistics Theme Seminar, Conformal Prediction in 2022 by Emmanuel Candes (Stanford, 2022)
WILL MY ROBOT ACHIEVE MY GOALS? PREDICTING THE PROBABILITY THAT AN MDP POLICY REACHES A USER-SPECIFIED BEHAVIOR TARGET by Alexander Guyer and Thomas G. Dietterich (University of Oregon, 2022)
Robust and Equitable Uncertainty Estimation by Aaron Roth(2022)
Conformal prediction under feedback covariate shift for biomolecular design by Clara Wong-Fannjiang (Berkeley, 2022)
Conformal prediction in 2022 invited talk by Emmanuel Candes at NeurIPS2022 🔥🔥🔥🔥🔥
Broadening the Scope of Conformal Inference by Michael I. Jordan (University of Berkeley, 2022) 🔥🔥🔥🔥🔥
Paper Reading Group - Fortuna, a Library for Uncertainty Quantification
CLIMB Evergreen talk with Emmanuel Candès: Conformal Inference when Data is not Exchangeable TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Algo Hour – Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei
'MoroccoAI webinar - Dr. Soundouss Messoudi - 'Confidence learning using conformal prediction'
Emmanuel Candes - A Taste of Conformal Prediction by Emmanuel Candes (2023)
Foundations of Conformal Prediction - Full Conformal Predictors by Mahdi Torabi Rad (2023) 🔥🔥🔥🔥🔥
Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting by Max Mergenthaler and Fede Garza (Nixtla, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Uncertainty Quantification with the Fortuna library by Gianluca Detommaso (AWS) by Gianluca Detommaso (Amazon, 2023)
Quantifying Uncertainty in Time Series Forecasting by Max Mergenthaler and Fede Garza (Nixtla, 2023)
NISS/Merck Meetup on Conformal Inference: Advancing the Boundaries of Machine Learning 4.19.2023 (2023) 🔥🔥🔥🔥🔥
Max Kuhn - The Post-Modeling Model to Fix the Model by Max Kuhn (2023)🔥🔥🔥🔥🔥
ISDFS Talk: Robots that ask for help: Conformal Prediction for LLM Planners by Anirudha Majumdar (Princeton/DeepMind) 🔥🔥🔥🔥🔥(2023)
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners by Allen Z Ren (2023) 🔥🔥🔥🔥🔥
Three Easy Steps to Understand Conformal Prediction (CP), Conformity Score, Python Implementation by (Dr. Data Science 2023) 🔥🔥🔥🔥🔥
Rising Stars #8: Clara Wong-Fannjiang (Genentech) - Prediction-Powered Inference
Rising Stars #10 - Special Series on Conformal Prediction: Isaac Gibbs (Stanford University) Conformal Inference with Conditional Guarantees
Conformal Prediction for Time Series with Modern Hopfield Networks by Andreas Auer TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Introducing Sequential Predictive Conformal Inference (SPCI) by Chen Xu (2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Prediction Intervals: Empowering Executives for Informed Decision by Matthew Kolakowski (2023) 🔥🔥🔥🔥🔥
Conformal Inference with Tidymodels - posit::conf(2023) by Max Kuhn (2023)
ACon^2: Adaptive Conformal Consensus for Provable Blockchain Oracles by Sangdon Park (2023)
Leveraging conformal prediction for calibrated probabilistic time series forecast by Inge van den Ende (Dexter Energy, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks by Kexin Huang (Stanford, 2023) 🔥🔥🔥🔥🔥
Selection by Prediction with Conformal p-values by Ying Jin (Stanford, 2023)
Trustworthy Retrieval Augmented Chatbots Utilizing Conformal Predictors by Shuo Li (UPenn, 2023).
An introduction to conformal prediction - PyLadies Amsterdam by Inge van den Ende (2024) 🔥🔥🔥🔥🔥code
Anushri Dixit - Planning with Confidence: Uncertainty Quantification for Safety-Critical Tasks (2024) 🔥🔥🔥🔥🔥
Analítica acelerada con Shapelets y conformal prediction, ~48 mins onwards by Carl McBride Ellis (2024) code 🔥🔥🔥🔥🔥
Conformal Quantile Estimation in Economics by Martin Fankhauser (Bocconi, 2024)
Big Data: 4th lecture (uncertainty in learning, big data for NLP) by Prof. Patrick Glauner (2024)
Unveiling Precision: A Novel ML Framework for Accurate Probability Estimates by Abel and Edgar, not CP per se, showing the critical importance of calibration in finance (2024)
Autonomy Talks - Somil Bansal: Safety Assurances for Learning-Enabled Autonomous Systems by Somil Bansal (USC, 2024) 🔥🔥🔥🔥🔥
Interview with Vladimir Vovk on Conformal Inference (2024)
Error Embraced: Making Trustworthy Scientific Decisions with Imperfect Predictions by Clara Wong-fannjiang (Genentech) (2024)
Conformalized Interval Arithmetic with Symmetric Calibration by Rui Luo, Zhixin Zhou (City University of Hong Kong, 2024)
Robust Yet Efficient Conformal Prediction Sets by Soroush H. Zargarbash (2024)
Applications of Conformal Prediction in Medicine | CGSI 2024 by Ahmed Alaa (2024)
Mojtaba Farmanbar - Uncertainty quantification: How much can you trust your machine learning model? by Mojtaba Farmanbar (2024)
Understanding, Generating, and Evaluating Prediction Intervals - posit conf 2024 by Bryan Shalloway (2024)
Install TorchCP Locally - Python Toolbox for Conformal Prediction on Deep Learning Models by Fahd Mirza (2024)
Conformal Prediction: uncertainty quantification to humanise models by Vincenzo Ventriglia (2025) 🔥🔥🔥🔥🔥

Conformal Prediction Presentation Slides

Machine Learning for Probabilistic Prediction, Seattle Artificial Intelligence Workshops Meetup by Valery Manokhin, 2023 🔥🔥🔥🔥🔥
Machine Learning for Probabilistic Prediction by Valery Manokhin, 2022 🔥🔥🔥🔥🔥
Adaptive Conformal Anomaly Detection for Time-series by Evgeny Burnaev, Alexander Bernstein, Vlad Ishimtsev and Ivan Nazarov (Skoltech, Moscow, Russia, 2017)
Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, University of London Rutgers University, 2017)
What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford University
Conformal Regressors and Predictive Systems – a Gentle Introduction by Henrik Bostroem (KTH, Sweden, 2022)
Applications of Conformal Predictors by Ernst Ahlberg and Lars Carlsson (Stena Line, 2022)
crepes: a Python Package for Conformal Regressors and Predictive Systems by Henrik Bostroem (KTH, Sweden, 2022)
Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Boström and Ulf Johansson (2022)
Well-Calibrated Rule Extractors by Ulf Johansson, Tuwe Löfström, Niclas Ståhl (2022)
[Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](Calibration of Natural Language Understanding Models with Venn-ABERS Predictors](https://copa-conference.com/presentations/patrizio.pdf) by Patrizio Giovannotti (2022)
Reinforcement Learning Prediction Intervals with Guaranteed Fidelity by Thomas Dietterich (University of Oregon, 2022)
Conformal Prediction beyond exchangeability by Rina Foygel Barber (University of Chicago, 2022) 🔥🔥🔥🔥🔥
Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and João Vitor Romano (2022)
Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester
Sequential Predictive Conformal Inference for Time Series by Chen Xu, Yao Xie (Georgia Tech, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Copula Conformal Prediction for Multi-step Time Series Forecasting by Sophia Sun, Rose Yu (University of California, San Diego, 2022)
Uncertainty estimation in NLP by Tal Schuster, Adam Fisch (MIT, 2022)
Conformal Prediction: an Introduction by Leo Andeol (2022)
EnbPI poster by Chen Xu, Yao Xie (2021)
Machine Learning for Probabilistic Prediction by Valery Manokhin (2023) 🔥🔥🔥🔥🔥
Conformal Inference with Tidymodels by Max Kuhn (posit conference 2023) 🔥🔥🔥🔥🔥
Graceful handling of large imbalanced datasets using Conformal Prediction by Ulf Norinder and Fredrik Svensson 🔥🔥🔥🔥🔥
Conformalized Quantile Regression by Yaniv Romano, Evan Patterson, Emmanuel J. Candès (Stanford, 2019)
Leveraging Conformal Prediction for Calibrated Probabilistic Time Series Forecasts to Accelerate the Renewable Energy Transition by Inge van den Ende (Dexter Energy, 2023). TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Application of Conformal Inference in High Energy Physics by Jiri Franc (CTU Prague,Czech Republic)

🛠 Open-Source Libraries and Tools

Conformal Prediction Libraries in Python

TorchCP - A library for conformal prediction 🔥🔥🔥🔥🔥
'Crêpes' - Conformal regressors and predictive systems by Henrik Boström (2021) Paper 🔥🔥🔥🔥🔥 Presentation by Henrik Bostroem (KTH, Sweden, 2022) paper
Python implementation of binary and multi-class Venn-ABERS calibration by Ivan Petej (2023) [Paper] 🔥🔥🔥🔥
Conformal Tights - A scikit-learn meta-estimator that adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor by Laurent Sorber (Radix AI) (2024) 🔥🔥🔥🔥🔥
Puncc (Predictive uncertainty calibration and conformalization) paper slides 🔥🔥🔥🔥🔥
ConformaSight Global Explainer Package 📦 by Fatıma Rabia Yapıcıoğlu (2025)
unquad - Conformal Anomaly Detection 🔥🔥🔥🔥🔥
Puncc (Predictive uncertainty calibration and conformalization) paper slides 🔥🔥🔥🔥🔥
Nixtla mlforecast TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Nixtla statsforecast TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Impact by Tyler Blume (2024) 🔥🔥🔥🔥🔥 10.Nonconformist by Henrik Linusson (2015) 🚨 The library does not seem to be actively maintained
Venn-ABERS Predictor by Paolo Toccaceli (2019) Paper 🔥🔥🔥🔥🔥
Conformalized Quantile Regression by Yaniv Romano (2019) 🔥🔥🔥🔥🔥
Orange3 Conformal Prediction Multi-class-probabilistic-classification using Venn-ABERS (Conformal) prediction by Valery Manokhin (Royal Holloway, 2022)
Copula Conformal Multi Target Regression by Soundouss Messoudi (2021)
Conformalized density- and distance-based anomaly detection in time-series data (KNN-CAD) by Evgeny Burnaev, Vladislav Ishimtsev (2016). Top #3 winning solution in Numenta competition 🔥🔥🔥🔥🔥
Conformal time-series forecasting by Kamile ̇ Stankeviciute (Cambridge, NeurIPS 2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
EnbPI by Chen Xu (2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 Paper
Conformal learning from scratch by Marharyta Aleksandrova (2021)
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting Vilde Jensen, Filippo Maria Bianchi and Stian Norman Anfinsen (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
PySloth - Python package for Probabilistic Prediction by Valery Manokhin 🚀🚀🚀🚀🚀 🔥🔥🔥🔥
Conformal Prediction in KNIME by Tuwe Löfström and Redfield AB (2022)
Nonconformist by Henrik Linusson (2015) 🔥🔥🔥🔥🔥
SKTime by Franz Kiraly (2022)
NeuralProphet (2022) 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
River 2022
TorchUQ (2022)
https://github.com/mikekeith52/scalecast TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
plot_utils - Plotting library for conformal prediction metrics, intended to facilitate fast testing in e.g. notebooks 🔥🔥🔥🔥🔥
calibrated-explanations - Calibrated Explanations for Machine Learning Models using Venn-Abers and Conformal Predictive Systems by Helena Löfström (2023)
Conformers - Unofficial Conformal Language Modelling library 🚀🚀🚀🚀
Conformal Predictions from Scratch in Numpy by Jones Wacker (2023) 🔥🔥🔥🔥🔥
Conformal Prediction for Digital Soil Mapping by Nafiseh Kakhani (2023)
conformal-prediction-jan2024 - PyLadies Amsterdam by Inge van den Ende (2024) 🔥🔥🔥🔥🔥
MFLES - Gradient Boosted Decomposition for time series forecasting by Tyler Blume (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
confopt - A Library for Conformal Hyperparameter Tuning by Ricardo Doyle (2024) paper 🔥🔥🔥🔥🔥
[crepes-weighted Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts](https://github.com/predict-idlab/crepes-weighted 🔥🔥🔥🔥🔥
pearsonify - Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal prediction (2025)
HyperConformal: Conformal Prediction for Hyperdimensional Computing 🔥🔥🔥🔥🔥 (2025)
(F)FCP : Predictive Inference with (Fast) Feature Conformal Prediction 🔥🔥🔥🔥🔥 (2026)

Conformal Prediction Libraries in R

pintervals - Model agnostic prediction intervals paper by David Randahl, Anders Hjort, Jonathan P. Williams (2026) 🔥🔥🔥🔥🔥
Conformal Prediction ih tidymodels by Max Kuhn (Posit/RStudio, 2023) video 🔥🔥🔥🔥🔥
Modeltime (2023) by Matt Dancho (Business Science, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal prediction for 80+ classes of R models with the marginaleffects package by Vincent Arel-Bundock (2023) 🔥🔥🔥🔥🔥
conformalForecast TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 (2024)
AdaptiveConformal (2023) paper 🔥🔥🔥🔥🔥
Conformal Inference R Project maintained by Ryan Tibshirani (2016) 🔥🔥🔥🔥🔥
Prediction Bands by Rafael Izbicki and Benjamin LeRoy (2019)
Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
Online Time Series Anomaly Detectors by Alaine Iturria, 2021 🔥🔥🔥🔥🔥
piRF - Prediction Intervals for Random Forests by Chancellor Johnstone and Haozhe Zhang (2019)
conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems by Niharika Gauraha and Ola Spjuth (2019)
R Package for Spatial Conformal Prediction
Conformal: an R package to calculate prediction errors in the conformal prediction framework by Isidro Cortes, 2019
cfsurvival - An R package that implements the conformalized survival analysis methodology Paper
ClusTorus: An R Package for Prediction and Clustering on the Torus by Conformal Prediction by Seungki Hong and Sungkyu Jung (2022)
conformal glm - conformal prediction for generalized linear regression models by Daniel Eck (2019)
caretForecast - Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Localized Conformal Prediction - LCP
conformalbayes - Jackknife(+) Predictive Intervals for Bayesian Models (2022)
conformal.fd Conformal inference prediction regions for Multiple Functional response regression (2021)
cRepes-R, R implementation of Python crepes package - Conformal prediction for regression, classification, and predictive systems

Conformal Prediction Libraries in Julia

ConformalPrediction.jl by Patrick Altmeyer (2022) Article - Conformal Prediction in Julia, Part I - Introduction Article - Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier Article - Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
RandomForest by Henrik Boström (2017) 🔥🔥🔥🔥🔥
PostForecasts.jl by Arkadiusz Lipiecki and Rafal Weron (2025) paper paper

Conformal Prediction in Other Languages

LibCP -- A Library for Conformal Prediction 🔥🔥🔥🔥🔥
An Implementation of Venn-ABERS predictor 🔥🔥🔥🔥🔥
LibVM -- A Library for Venn Machine
Scala-CP by Marco Capuccini (2017)' 🔥🔥🔥🔥🔥 (see tutorial section 'Conformal Prediction in Spark')

AI Platforms Using Conformal Prediction

Conformal Prediction in Knime Presentation 🔥🔥🔥🔥🔥
Data Robot - Prediction Intervals via Conformal Inference
AWS Fortuna by Amazon, (2022) 🔥🔥🔥🔥🔥
Microsoft Azure

Conformal Prediction on Kaggle

Kaggle Notebook showcasing Conformal Predictive Distributions on Playground Series Season 3, Episode 1 (California Housing data) competition by Valeriy Manokhin (2022)
Kaggle Notebook showcasing Venn-ABERs Conformal Prediction on Playground Series Season 3, Episode 2 (Stroke prediction) competition by Valeriy Manokhin (2022)
Classifier calibration using Venn-ABERS by Carl McBride Ellis (2024) 🔥🔥🔥🔥🔥
CPB: The Crucial Calibration Set by L. Elaine Dazzio (2025)
Simplest Conformal Prediction Example by L. Elaine Dazzio (2025)

📚 Research: Papers and Theses

Conformal Prediction Papers

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods by Valeriy Manokhin and Daniel Grønhaug (2026) 🔥🔥🔥🔥🔥🚀🚀🚀🚀🚀
The Manokhin Probability Matrix: A Diagnostic Framework for Classifier Probability Quality by Valeriy Manokhin (2026) 🔥🔥🔥🔥🔥
A Review and Comparative Analysis of Univariate Conformal Regression Methods by Jie Bao, Nicolò Colombo, Valeriy Manokhin, Suqun Cao, Rui Luo (COPA 2025) 🔥🔥🔥🔥🔥
Cross-conformal predictive distributions by Vladimir Vovk, Ilia Nouretdinov, Valeriy Manokhin and Alexander Gammerman (Royal Holloway, UK, 2018) 🔥🔥🔥🔥🔥
Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valeriy Manokhin and Min-ge Xie (Royal Holloway, UK / Rutgers, USA, 2018) 🔥🔥🔥🔥🔥
Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valeriy Manokhin, Alex Gammerman (Royal Holloway, UK, 2017) 🔥🔥🔥🔥🔥
Multi-class probabilistic classification using inductive and cross Venn–Abers predictors by Valeriy Manokhin (Royal Holloway, UK, 2017) 🔥🔥🔥🔥🔥
Computationally efficient versions of conformal predictive distributions by Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valeriy Manokhin, Alex Gammerman (Royal Holloway, UK, 2019) 🔥🔥🔥🔥🔥
Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination by Ulf Norinder, Lars Carlsson, Scott Boyer, and Martin Eklund (2014)
Uncertainty Sets for Image Classifiers using Conformal Prediction by Anastasios N. Angelopoulos, Stephen Bates, Jitendra Malik, & Michael I. Jordan (Berkeley, 2021) 🔥🔥🔥🔥🔥
Conformal Prediction Under Covariate Shift by Ryan Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas (Carnegie Mellon, Stanford, Chicago, 2019) 🔥🔥🔥🔥🔥
Regression Conformal Prediction with Nearest Neighbours by Harris Papadopoulos, Vladimir Vovk and Alex Gammerman (Royal Holloway, UK, 2014) 🔥🔥🔥🔥🔥
Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta, Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2021) 🔥🔥🔥🔥🔥
Criteria of Efficiency for Conformal Prediction by Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, and Alex Gammerman ((Royal Holloway, UK, 2016)
Conformal Prediction for Simulation Models by Benjamin LeRoy and Chad Schafer (Carnegie Mellon, 2021)
Distribution-free, risk-controlling prediction sets Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik and Michael I Jordan (Berkeley, 2021) 🔥🔥🔥🔥🔥
Conditional calibration for false discovery rate control under dependence by William Fithian and Lihua Lei (Stanford, 2021)
Regression conformal prediction with random forests by Ulf Johansson, Henrik Boström, Tuve Löfström and Henrik Linusson (2014)
A conformal prediction approach to explore functional data by Jing Lei, Alessandro Rinaldo, Larry Wasserman (Carnegie Mellon, 2013)
An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhana,c, Zhan Wanga, Meng Yangb, Zhiyuan Luod, You Wanga, Guang Li (2020)
Predicting the Rate of Skin Penetration Using an Aggregated Conformal Prediction Framework by Martin Lindh, A. Karlén, Ulf Norinder (2017)
The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2014) 🔥🔥🔥🔥🔥
Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, and Alexander Gammerman (2009)
Conformal prediction interval estimation and applications to day-ahead and intraday power markets by Christopher Kath, Florian Ziel (2019) 🔥🔥🔥🔥🔥
The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2013)
Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman (Royal Holloway, UK, 2014)
Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
Conformal prediction with localization by Leying Guan (Yale, 2020)
Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018)
Binary classification of imbalanced datasets using conformal prediction by Ulf Norinder, Scott Boyer (2017)
Discretized conformal prediction for efficient distribution-free inference by Wenyu Chen, Kelli-Jean Chun, and Rina Foygel Barber (2017)
Validity, consonant plausibility measures, and conformal prediction by Leonardo Cella. and Ryan Martin (2021)
Conformal Prediction Classification of a Large Data Set of Environmental Chemicals from ToxCast and Tox21 Estrogen Receptor Assays by Ulf Norinder, Scott Boyer (2016)
Conformal prediction to define applicability domain – A case study on predicting ER and AR binding by U. Norinder, A. Rybacka, P.Andersson (2016)
Conformal prediction of biological activity of chemical compounds by Paolo Toccaceli, Ilia Nouretdinov, Alex Gammerman (Royal Holloway, UK, 2017) 🔥🔥🔥🔥🔥
Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determination by Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund (2015)
Aggregated Conformal Prediction by Lars CarlssonMartin EklundUlf Norinder (2014)
Interpretation of Conformal Prediction Classification Models by Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson (2015)
Cross-Conformal Prediction with Ridge Regression by Harris Papadopoulos (2015)
Sparse conformal prediction for dissimilarity data by Frank-Michael Schleif, Xibin Zhu and Barbara Hammer (2015)
Effective utilization of data in inductive conformal prediction using ensembles of neural networks by Tuve Löfström, Ulf Johansson and Henrik Boström (2013)
Beyond the Basic Conformal Prediction Framework by Vladimir Vovk (2014)
An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhan, Zhan Wang, Meng Yang, Zhiyuan Luo, You Wang, Guang Li (Stanford, Royal Holloway, China University of Mining and Technology, 2020)
Predicting with confidence: Using conformal prediction in drug discovery by Jonathan Alvarsson, Staffan Arvidsson McShane, Ulf Norinder, Ola Spjuth (2021) 🔥🔥🔥🔥🔥
Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Zhang Wei, Meng Yang, Zhiyuan Luo, Guang Li (2020)
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (2019)
Deep Conformal Prediction for Robust Models by Soundouss Messoudi, Sylvain Rousseau and Sébastien Destercke (2020)
Strong validity, consonance, and conformal prediction by Leonardo Cella and Ryan Martin (2020)
Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules by Anke Wilm, U. Norinder, M. Agea, Christina de Bruyn Kops, Conrad Stork, J. Kühnl, J. Kirchmair (2020)
Conformal prediction based active learning by linear regression optimization by Sergio Matiz, Kenneth E.Barner (2020)
Conformal prediction intervals for the individual treatment effect by Danijel Kivaranovic, Robin Ristl, Martin Poschb, Hannes Leeb (2020)
Nearest neighbor based conformal prediction by László Györfi and Harro Walk (2020)
Concepts and Applications of Conformal Prediction in Computational Drug Discovery by Isidro Cortés-Ciriano and Andreas Bender (2019) 🔥🔥🔥🔥🔥
Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project by Ulf Norinder, Ernst Ahlberg, Lars Carlsson (2018)
Nested Conformal Prediction and the Generalized Jackknife by Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2019)
Predictive inference with the jackknife+ by Rina Foygel Barber, Emmanuel Candès, Aaditya Ramdas, and Ryan Tibshirani (2020) 🔥🔥🔥🔥🔥
A Distribution-Free Test of Covariate Shift Using Conformal Prediction by Xiaoyu Hu and Jing Lei (Peking Univerity, China and Carnegie Mellon, USA, 2020) 🔥🔥🔥🔥🔥
Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
Conformal prediction with localization by Leying Guan (2020)
Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction by Ulf Norinder, Fredrik Svensson
Conformal prediction of HDAC inhibitors by U. Norinder, J.J.Navaka, E. Lopez-Lopez, D. Mucs & J.L. Medina-Franco (2019)
Computing Full Conformal Prediction Set with Approximate Homotopy by Eugene Ndiaye, Ichiro Takeuchi (2019)
Conformal Prediction Based on Raman Spectra for the Classification of Chinese Liquors by Jiao Gu, Huaibo Liu, Chaoqun Ma, Lei Li, Chun Zhu, Christ Glorieux, Guoqing Chen (2019)
Efficient and minimal length parametric conformal prediction regions by Daniel Eck and Forrest Crawford (2019)
Conformal Prediction for Students' Grades in a Course Recommender System by Raphael Morsomme and Evgueni Smirnov (2019)
Efficient iterative virtual screening with Apache Spark and conformal prediction by Laeeq Ahmed, Valentin Georgiev, Marco Capuccini, Salman Toor, Wesley Schaal, Erwin Laure and Ola Spjuth (2018)
Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction by Samuel Lampa, Jonathan Alvarsson, Staffan Arvidsson Mc Shane, Arvid Berg, Ernst Ahlberg, Ola Spjuth (2018)
Maximizing gain in high-throughput screening using conformal prediction by Fredrik Svensson, Avid M. Afzal1, Ulf Norinder and Andreas Bender (2018)
Conformalized Survival Analysis by Emmanuel Candès, Lihua Lei and Zhimei Ren (2021) R-Code 🔥🔥🔥🔥🔥
Random Forest Prediction Intervals by Haozhe Zhang†, Joshua Zimmerman†, Dan Nettleton† and Daniel J. Nordman† (Iowa State University, USA, 2019)
Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (DeepMind), Krishnamurthy Dvijotham, Ali Taylan Cemgil and Arnaud Doucet (2021)
Comparing the Bayes and typicalness frameworks by Thomas Melluish, Craig Saunders, Ilia Nouretdinov, and Volodya Vovk (Royal Holloway, UK, 2001). 🔥🔥🔥🔥🔥
Large-scale probabilistic predictors with and without guarantees of validity by Vladimir Vovk, Ivan Petej, and Valentina Fedorova (Royal Holloway, Yandex, NeurIPS) 🔥🔥🔥🔥🔥
Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Wei Zhang, Meng Yang, Zhiyuan Luo and Guang Li (2020)
Valid prediction intervals for regression problems by Nicolas Dewolf, Bernard De Baets, Willem Waegeman (2021) 🔥🔥🔥🔥🔥
Application of conformal prediction interval estimations to market makers’ net positions by Wojciech Wisniewski, David Lindsay, Sian Lindsay (Royal Holloway, UK, 2020)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (NeurIPS, 2021) 🔥🔥🔥🔥🔥
Distribution-Free Federated Learning with Conformal Predictions by Charles Lu and Jayashree Kalpathy-Cramer (2022)
Coreset-based Conformal Prediction for Large-scale Learning by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2019)
Fast probabilistic prediction for kernel SVM via enclosing balls by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2020)
Conformalized density- and distance-based anomaly detection in time-series data by Evgeny Burnaev, Vladislav Ishimtsev (2016)
Predictive Inference with Weak Supervision by Maxime Cauchois, Suyash Gupta, Alnur Ali and John Duchi (Stanford, 2022)
Conformal Prediction in Clinical Medical Sciences by Janette Vazquez and Julio C. Facelli University of Utah, 2022)
Provably Improving Expert Predictions with Conformal Prediction by Eleni Straitouri, Lequng Wang, Nastaran Okati and Manuel Gomez Rodriguez (Max Planck Institute for Software Systems / Cornell University, 2021).
Cover your cough: detection of respiratory events with confidence using a smartwatch by Khuong An Nguyen, Zhiyuan Luo (Royal Holloway, 2019).
Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction by Ulf Norinder and Petra Norinder (2022)
Conformal Prediction for the Design Problem by Clara Fannjianga, Stephen Batesa, Anastasios Angelopoulosa, Jennifer Listgartena and Michael I. Jordan (Berkeley, 2022) 🔥🔥🔥🔥🔥
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging by Anastasios N. Angelopoulos, Amit Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano (Berkeley and Technion, 2022) 🔥🔥🔥🔥🔥
Conformal predictive decision making by Vladimir Vovk and Claus Bendtsen (2018).
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting by Alnur Ali1, Maxime Cauchois and John C. Duchi (Stanford, 2022)
E-values: Calibration, combination, and applications by Vladimir Vovk (Royal Holloway) and Ruodu Wang (University of Waterloo) (2019)
Conformal Prediction Sets with Limited False Positives by Adam Fisch, Tal Schuster, Tommi Jaakkola and Regina Barzilay code (MIT / Google Research, 2022) 🔥🔥🔥🔥🔥
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (Arctic University of Norway, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 Python Code
Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors by Staffan Arvidsson, Ola Spjuth, Lars Carlsson and Paolo Toccaceli (University of Uppsala, Astra Zeneca, Royal Holloway, 2017)
Probabilistic Prediction in scikit-learn by Sweidan, Dirar and Ulf Johansson. 🔥🔥🔥🔥🔥
Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Valid model-free spatial prediction by Huiying Mao, Ryan Martin and Brian J Reich (2020)
Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Calibration of Natural Language Understanding Models with Venn–ABERS Predictors by Patrizio Giovannotti (Royal Holloway, UK, 2022) NLP
Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Efficient Conformal Prediction via cascaded inference with expanded admission by Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay (MIT 2021]. Python Code
Split Localized Conformal Prediction by Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu (University of Texas, 2022). Python Code
Three Applications of Conformal Prediction for Rating Breast Density in Mammography by Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Crame (2022)
Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Recommendation systems with distribution-free reliability guarantees) by Anastasious Angelopolous, Karl Krauth, Stephen Bates, Yixin Wang and Michael I. Jordan (Berkeley 2022)
Model Agnostic Conformal Hyperparameter Optimization by Riccardo Doyle (Spotify, 2022)
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets by Charles Lu, Anastasios N. Angelopoulos, Stuart Pomerantz (2022) code 🔥🔥🔥🔥🔥
Conformal Off-Policy Prediction in Contextual Bandits by Muhammad Faaiz Taufiq, Jean-François Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) Video presentation
Semantic uncertainty intervals for disentangled latent space by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, and Phillip Isola (Unversity of Berkeley, Technion, 2022) 🔥🔥🔥🔥🔥
CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Confident Adaptive Language Modeling by Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler (Google, MIT, 2022j
Probabilistic Conformal Prediction Using Conditional Random Samples by Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei (Columbia University, 2020) Code
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting by Martim Sousa, Ana Maria Tome and Jose Moreira (University of Aveiro, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
A novel Deep Learning approach for one-step Conformal Prediction approximation by Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis and Zhiyuan Luo (University of Brighton, UK, 2022) 🔥🔥🔥🔥🔥
Conformal Risk Control by Anastasious Angelopolous, Stephen Bates, Adam Fisch, Lihua Lei and Tal Schuster (Berkeley, Stanford, MIT and Google Research, 2022) 🔥🔥🔥🔥🔥
CD-split and HPD-split: Efficient Conformal Regions in High Dimensions by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern (San Carlos University Brazil, 2022) R code
Flexible distribution-free conditional predictive bands using density estimators by Rafael Izbicki, Gilson Shimizu, and Rafael B. Stern (San Carlos University Brazil, 2020)
Split Conformal Prediction for Dependent Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Rio de Janeiro, Brazil, 2022)
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs and Emmanual Candes (Stanford, 2022) 🔥🔥🔥🔥🔥
A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomé, University of Aveiro (2022) Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning by Alice E. Ashby, Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo, Werner Gentzk (University of Brighton, 2022)
Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostroem and Ulf Johansson (2022)
Conformal prediction for hypersonic flight vehicle classification by Zepu Xi, Xuebin Zhuang, Hongbo Chen (Yat-sen University, Guangzhou, China, 2022) Slides
Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
Conformal Prediciton beyond exchangeability by Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, Ryan J. Tibshirani (2022)
Robust Gas Demand Forecasting with Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and João Vitor Romano (2022)
Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester (2022)
Ellipsoidal conformal inference for Multi-Target Regression by Soundouss Messoudi, Sebastien Destercke, Sylvain Rousseau (2022) Slides
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey by Sophia Sun (UCLA, 2022)
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images by Håkan Wieslander , Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Markus Fridén, Johan Karlsson, Ola Spjuth, and Carolina Wählby (2021)
Audio–visual domain adaptation using conditional semi-supervised Generative Adversarial Networks by Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis (2022)
Conformal Prediction is Robust to Label Noise by Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Batch Multivalid Conformal Prediction by Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth (Stanford, university of Pensylvania, 2022)
Selection by Prediction with Conformal p-values by Ying Jin1 and Emmanuel J. Candes, (Stanford, 2022) Video code
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction by Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone (2022)
Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Noah Arc Huawei, 2022)
Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples by Fatih Furkan Yilmaz, and Reinhard Heckel (Rice University / University of Munuch, 2022)
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains by Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar (2022)
Predictive inference with feature conformal prediction by Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan (Tsinghua University, Mila - Quebec AI Institute, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute, 2022) code 🔥🔥🔥🔥🔥
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods by Alex Contarino, Christine Schubert Kabban, Chancellor Johnstone and Fairul Mohd-Zaid (2022)
Spatio-Temporal Wildfire Prediction using Multi-Modal Data by Chen Xu1, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, and Feng Qiu (2022)
Calibrating AI models for few-shot demodulation via conformal prediction Kfir M. Cohen1, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai (2022)
Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples Code
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction by Wenlu Tang, Guohao Shen, Yuanyuan Lin and Jian Huang (The Hong Kong Polytechnic University, 2022)
Safe Planning in Dynamic Environments using Conformal Prediction by Lars Lindemann, Matthew Cleaveland∗, Gihyun Shim, and George J. Pappas (University of Pensylvania, 2022)
Conformal prediction under feedback covariate shift for biomolecular design by Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos,and Michael I. Jordan (2022) 🔥🔥🔥🔥🔥
Conformal Predictor for Improving Zero-shot Text Classification Efficiency by Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
Bayesian Optimization with Conformal Coverage Guarantees by Samuel Stanton, Wesley Maddox and Andrew Gordon Wilson (Genentech, New York University, 2022) Code 🔥🔥🔥🔥🔥
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability by Ibai Lanaa, Ignacio (In ̃aki) Olabarrietaa, Javier Del Sera (2022)
Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Huawei Noah’s Ark Lab Canada, NeurIPS 2022 paper) Code 🔥🔥🔥🔥🔥
Engineering Uncertainty Representations to Monitor Distribution Shifts by Thomas Bonnier and Benjamin Bosch (Société Générale, 2022)
CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS Project Code by Eliahu Horwitz, Yedid Hoshen (Hebrew University of Jerusalem, 2022) 🔥🔥🔥🔥🔥
Semantic uncertainty intervals for disentangled latent spaces by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola (MIT, Berkeley, Technion, 2022) 🔥🔥🔥🔥🔥
But are you sure? An uncertainty-aware perspective on explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang (Bernie) Wang, Stefano Ermon, Jun Huan (2022)
Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone and Shlomo Shamai (2022)
Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence by Maria Sapounidou, Ulf Norinder and Patrick Andersson (2022)
Conformal Loss-Controlling Prediction by Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li (2023)
ROBUST AND SCALABLE UNCERTAINTY ESTIMATION WITH CONFORMAL PREDICTION FOR MACHINE-LEARNED INTERATOMIC POTENTIALS Code by Yuge Hu, Joseph Musielewicz, Zachary Ulissi, Andrew J. Medford (Georgia Institute of Technology/Carnegie Mellon University, 2022)
Clustering of Trajectories using Non-Parametric Conformal DBSCAN Algorithm by Haotian Wang, Jie Gao, Min-ge Xie Rutgers University, 2022)
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Jun Huan (2022)
Prediction-Powered Inference by Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic (Universify of Berkeley, 2022) code 🔥🔥🔥🔥🔥
Conformal Prediction for Trustworthy Detection of Railway Signals by Leo Andeol, Thomas Fel, Florence de Grancey, Luca Mossina (Institute de Mathematiques de Toulouse, SCNF, 2022)
PAC Prediction Sets for Large Language Models of Code by Adam Khakhar, Stephen Mell, Osbert Bastani (University of Pennsylvania, 2023)
Physics Constrained Motion Prediction with Uncertainty Quantification by Renukanandan Tumu, Lars Lindemann†, Truong Nghiem, Rahul Mangharam, (2023)
Accelerating difficulty estimation for conformal regression forests by Henrik Bostroem, Henrik Linusson, Tuve Loefstroem, Ulf Johansson (2017)
Conformal prediction for exponential families and generalized linear models
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control by Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023) Code
Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction Code R package
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling by Ernsting et.al. (2023)
Conformal prediction for STL runtime verification by Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas (University of Pennsylvania/University of Southern California, 2022)
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents by Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J Pappas, Joel W Burdick (California Institute of Technology/University of Pennsylvania, 2022)
Risk Control for Online Learning Models by Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano (2023)
Sensititivty analysis of individual treatment effects: A robust conformal inference approach Code by Ying Jin, Zhimei Ren and Emmanual Candes (2023)
Improving Adaptive Conformal Prediction Using Self-Supervised Learning by Nabeel Seedat, Alan Jeffares, Fergus Imrie and Mihaela van der Schaar (Cambridge, 2023) Video Code
[Learning by Transduction - of the of earliest conformal prediction papers] (https://dl.acm.org/doi/10.5555/2074094.2074112#sec-comments) by Alex Gammerman, Vladimir Vovk and Vladimir Vapnik (Royal Holloway, University of London, 1998) 🔥🔥🔥🔥🔥 video
Hedging Predictions in Machine Learning by Alexander Gammerman and Vladimir Vovk (2008) 🔥🔥🔥🔥🔥
Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction by Ulf Norinder, Glenn Myatt and Ernst Ahlberg
Improved Online Conformal Prediction via Strongly Adaptive Online Learning by Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai (2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Fortuna: A Library for Uncertainty Quantification in Deep Learning by Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias Seeger, Andrew Gordon Wilson, Cedric Archambeau (2023)
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes by Mahmoud Shoush and Marlon Dumas (University of Tartu,2022)
Machine-Learning Applications of Algorithmic Randomness by Vladimir Vovk, Alex Gammerman and Craig Saunders (1999) 🔥🔥🔥🔥🔥
On the universal distribution of the coverage in split conformal prediction by Paulo C. Marques F. (2023)
Lightweight, Uncertainty-Aware Conformalized Visual Odometry by Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, and Amit Ranjan Trivedi (University of Illinois Chicago, 2023)
Group conditional validity via multi-group learning by Samuel Deng, Navid Ardeshir, Daniel Hsu (Columbia University, 2023)
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis by Subhankar Ghosh, Taha Belkhouj, Yan Yan, Janardhan Rao Doppa (Washington State University, 2023)
Mondrian conformal regressors by Henrik Boström, Ulf Johansson (2020)
Mondrian Conformal Predictive Distributions by Henrik Boström, Ulf Johansson, Tuwe Löfström (2021) 🔥🔥🔥🔥🔥
Adaptive Conformal Prediction by Reweighting Nonconformity Score by Salim I. Amoukou, Nicolas J.B Brunel (2023) Code
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation by Heng Yang and Marco Pavone (NVIDIA, 2023)
A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum by Xiaoyu Hu and Jing Lei (Peking University and Carnegie Mellon University, 2023)
Conformalized Semi-Supervised Random Forest For Classification and Abnormality Detection (2023)
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023)
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction by Shuo Yang, George J. Pappas, Rahul Mangharam, and Lars Lindemann (University of Pennsylvania, 2023)
Conformal Prediction Regions for Time Series using Linear Complementarity Programming by Matthew Cleaveland, Insup Lee, George J. Pappas†, and Lars Lindemann (University of Pennsylvania, 2023)
Development and Evaluation of Conformal Prediction Methods for QSAR by Yuting Xua, Andy Liawa, Robert P. Sheridan (Merck, 2023)
Multi-Agent Reachability Calibration with Conformal Prediction by Anish Muthali1, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire Tomlin (University of Berkeley, 2023)
Conformalized Unconditional Quantile Regression by Ahmed M. Alaa, Zeshan Hussain, David Sontag (Berkeley/MIT, 2023).
Conformal Off-Policy Evaluation in Markov Decision Processes by Daniele Foffano, Alessio Russo and Alexandre Proutiere (KTH, 2023) 🔥🔥🔥🔥🔥 🌟🌟🌟🌟🌟
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park and Osvaldo Simeone (2023) Code QuantumML 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Probabilistic prediction with locally weighted jackknife predictive system by Di Wang, Ping Wang, Pingping Wang, Cong Wang, Zhen He, Wei Zhang 🔥🔥🔥🔥🔥
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision by Siddhaarth Sarkar, Arun Kumar Kuchibhotla (2023)
Conformal Regression in Calorie Prediction for Team Jumbo-Visma by Kristian van Kuijk, Mark Dirksen, Christof Seiler (2023) 🔥🔥🔥🔥🔥slides
Design-based conformal prediction by Jerzy Wieczorek (2023) code 🌟🌟🌟🌟🌟
Inductive Confidence Machines for Regression by Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman (2002) 🔥🔥🔥🔥🔥📚📚📚📚📚
Model-Agnostic Nonconformity Functionsfor Conformal Classification by Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström (2017) 🔥🔥🔥🔥🔥📚📚📚📚📚
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study by Marharyta Aleksandrova, Oleg Chertov (2021) 🔥🔥🔥🔥🔥📚📚📚📚📚
Inductive Conformal Prediciton: A Straightforward Introduction with examples in Python by Martim Sousa (2022) Code 🔥🔥🔥🔥🔥📚📚📚📚📚
Closing the Loop on Runtime Monitors with Fallback-Safe MPC by Rohan Sinha, Edward Schmerling, and Marco Pavone (Standord, 2023)
Calibrated Explanations: with Uncertainty Information and Counterfactuals by Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia S ̈onstr ̈od (2023) Code 🔥🔥🔥🔥🔥
Optimizing Hyperparameters with Conformal Quantile Regression by David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau (Amazon Science, 2023) 🔥🔥🔥🔥🔥
Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens by Andreas Luttens, Israel Cabeza de Vaca, Leonard Sparring, Ulf Norinder, Jens Carlsson (2023) Code Datasets 🔥🔥🔥🔥🔥
Predicting skin sensitizers with confidence — Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018) 📚📚📚📚📚
Confidence-based Prediction of Antibiotic Resistance at the Patient-level Using Transformers by J.S. Inda-Diaz, A. Johnning, M. Hessel, A. Sjo ̈berg, A. Lokrantz, L. Hellda, M. Jirstrand, L. Svensson and E. Kristiansson (Chalmers University of Technology and University of Gothenburg/Centre for Antibiotic Resistance Research (CARe), 2023) 🔥🔥🔥🔥🔥
Framework based on conformal predictors and power martingales for detection of fixed football matches by I. Zhuk, O. Chertov (2023)
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems by Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad (2023) 🔥🔥🔥🔥🔥
Conformalized matrix completion by Yu Gui, Rina Foygel Barber, and Cong Ma (University of Chicago, 2023) 🔥🔥🔥🔥🔥 code
Conformal Prediction With Conditional Guarantees by Isaac Gibbs, John Cherian, Emmanuel Candes (Stanford, 2023) code
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks by Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec (Stanford, 2023) code 🔥🔥🔥🔥🔥
Federated Conformal Predictors for Distributed Uncertainty Quantification by Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar (MIT/Berkeley, 2023) code video 🔥🔥🔥🔥🔥
Conformal Prediction with Large Language Models for Multi-Choice Question Answering by Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David Bellamy, Ramesh Raskar, Andrew Beam (Harvard/MIT, 2023) 🔥🔥🔥🔥🔥
Conformal Predictive Distribution Trees by Ulf Johansson, Tuwe Löfström, Henrik Boström (2023) 🔥🔥🔥🔥🔥
CONFORMAL PREDICTION WITH PARTIALLY LABELED DATA by Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier (2023)
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift by Vincent Plassie, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov (2023)
Conformalizing Machine Translation Evaluation by Chrysoula Zerva, André F. T. Martins (2023)
Class-Conditional Conformal Prediction With Many Classes by Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani 🔥🔥🔥🔥🔥 (Berkeley, 2023)
Conformal Prediction Sets for Graph Neural Networks by Soroush Zargarbashi, Simone Antonelli, Aleksandar Bojchevski Code
Conformal link prediction to control the error rate by Ariane Marandon (2023)
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift Drew Prinster, Suchi Saria, Anqi Liu (John Hopkins University, 2023) Code 🔥🔥🔥🔥🔥
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction by Yunchuan Zhang, Sangwoo Park and Osvaldo Simeone (2023)
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners by Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar (Princeton/DeepMind, 2023) Website 🔥🔥🔥🔥🔥
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (Cambridge, 2019) 🔥🔥🔥🔥🔥
Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers by Henrik Linusson, Ulf Johansson, Henrik Bostroem, and Tuve Loefstroem (2014)
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Code (John Hopkins University, 2023) 🔥🔥🔥🔥🔥
Conformal Test Martingale-Based Change-Point Detection for Geospatial Object Detectors by Gang Wang, Zhiying Lu, Ping Wang, Shuo Zhuang and Di Wang (2023)
Plug-in martingales for testing exchangeability on-line by Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk (Royal Holloway, UK, ICML 2012) 🔥🔥🔥🔥🔥
Testing Exchangeability On-Line by Vladimir Vovk, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, UK, ICML 2003) 🔥🔥🔥🔥🔥
Predictive Inference Is Free with the Jackknife+-after-Bootstrap by Byol Kim, Chen Xu, Rina Foygel Barber (University of Chicago, 2020) 🔥🔥🔥🔥🔥
Conformal Prediction with Large Language Models for Multi-Choice Question Answering by Bhawesh Kumar, Charles Lu, Gauri Gupta, Anil Palepu, David Bellamy, Ramesh Raskar, Andrew Beam (MIT, 2023) code 🔥🔥🔥🔥🔥
CONFORMAL PREDICTIONS ENHANCED EXPERT-GUIDED MESHING WITH GRAPH NEURAL NETWORKS code by Amin Heyrani Nobari, Justin Rey, Suhas Kodali and Matthew Jones (MIT, 2023) website 🔥🔥🔥🔥🔥
Approximating Full Conformal Prediction at Scale via Influence Functions by Javier Abad, Umang Bhatt, Adrian Weller, Giovanni Cherubin (Cambridge, Alan Turing Institute, ETH, Microsoft Research, 2023) code video 🔥🔥🔥🔥🔥
Robust Uncertainty Quantification using Conformalised Monte Carlo Prediction Code by Daniel Bethell, Simos Gerasimou, Radu Calinescu (University of York, 2023) article code 🔥🔥🔥🔥🔥
I do not know! but why?”– Local Model-Agnostic Example-based explanations of reject code by Andre Artelt, Roel Visser and Barbara Hammer (University of Bielefeld, 2023)
Approximating Score-based Explanation Techniques Using Conformal Regression by Amr Alkhatib, Henrik Bostroem, Sofiane Ennadir and Ulf Johansson (KTH/Joenkoeping University, 2023) 🔥🔥🔥🔥🔥
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions by Jake C. Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard Zemel (Princeton University, Columbia University, Harvard University, University of Toronto, 2023) 🔥🔥🔥🔥🔥
Improving Deep Learning-Based Defect Classification in Solar Cells using Conformal Prediction by Vitus Bødker Thomsen, Claire Mantel, Gisele Benatto, Søren Forchhammer (DTU - Technical University of Denmark, 2023) 🔥🔥🔥🔥🔥
Adaptive Conformal Prediction by Reweighting Nonconformity Scores by Salim I. Amoukou and Nicolas J-B. Brunel and Nicolas J-B. Brunel (University Paris Saclay, Stellantis Paris, Quantmetry Paris, 2023) code 🔥🔥🔥🔥🔥
Copula-based conformal prediction for Multi-Target Regression by Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau (2021) code 🔥🔥🔥🔥🔥
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects by Ahmed Alaa, Zaid Ahmad, and Mark van der Laan (2023) code 🔥🔥🔥🔥🔥
Heteroskedastic conformal regression by NICOLAS DEWOLF, BERNARD DE BAETS AND WILLEM WAEGEMAN (2023) 🔥🔥🔥🔥🔥 (UGent, 2023)
Closing the Loop on Runtime Monitors with Fallback-Safe MPC by Rohan Sinha, Edward Schmerling, and Marco Pavone (Stanford, 2023) 🔥🔥🔥🔥🔥
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help project website by Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros (Washington University in St.Louis and University of Zurich, 2023) 🔥🔥🔥🔥🔥
Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method code by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) 🔥🔥🔥🔥🔥
Conformalized Quantile Regression by Yaniv Romano, Evan Patterson, Emmanuel J. Candès (Stanford, 2019) [code](Conformalized Quantile Regression](https://github.com/yromano/cqr) project 🔥🔥🔥🔥🔥
Fast nonlinear vector quantile regression by Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano and Alex M. Bronstein (Technion, 2023) code 🔥🔥🔥🔥🔥
Achieving Risk Control in Online Learning Settings by Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano (Technion/Berkeley, 2021) code
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction by Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver (Ghent University, 2023) 🔥🔥🔥🔥🔥
Online NoVaS Conformal Volatility Prediction slides by Alejandro Canete (University of Chicago) 🔥🔥🔥🔥🔥 (2023)
Market Implied Conformal Volatility Intervals slides by Alejandro Canete (University of Chicago) 🔥🔥🔥🔥🔥 (2023)
PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization slides code 🔥🔥🔥🔥🔥
The Venn-ABERS Testing for Change-Point Detection slides by Ilia Nouretdinov and Alex Gammerman (Royal Holloway, 2023) 🔥🔥🔥🔥🔥
A Review of Nonconformity Measures for Conformal Prediction in Regression slides by Yuko Kato, David M.J. Tax, Marco Loog (Delft University of Technology, Radboud University, Nijmegen, Netherlands, 2023)
Approximating Score-based Explanation Techniques Using Conformal Regression slides by Amr Alkhatib, Henrik Bostroem, Sofiane Ennadir, Ulf Johansson (KTH, Joenkoeping University, 2023).
Mondrian Predictive Systems for Censored Data slides by Henrik Bostroem, Henrik Linusson, Anders Vesterberg (KTH, Ekkono Solutions AB, Scania CV AB, Sweden 2023).
Evaluating Machine Translation Quality with Conformal Predictive Distributions slides by Patrizio Giovannotti (Royal Holloway, UK) 🔥🔥🔥🔥🔥
Confidence Calibration for Systems with Cascaded Predictive Modules by Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda Gervasio (SRI International, 2023)
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images by Benjamin Lambert, Florence Forbes, Senan Doyle, and Michel Dojat (Grenoble Institut Neurosciences / Univ. Grenoble Alpes, Pixyl, 2023) 🔥🔥🔥🔥🔥
Conformal Predictions for longitudinal data by Devesh Batra, Salvatore Mercuri and Raad Khraishi (Data Science & Innovation - NatWest Group, Institute of Finance and Technology, UCL, UK, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Distribution-free risk assessment of regression-based machine learning algorithms by Sukrita Singh, Neeraj Sarna, Yuanyuan Li, Yang Lin, Agni Orfanoudaki (University of Oxford / MunichRe, 2023).
CONFORMAL PREDICTION FOR DEEP CLASSIFIER VIA LABEL RANKING by Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei (Southern University of Science and Technology, ShanghaiTech University, Rutgers University, University of North Carolina at Chapel Hill, Chongqing University) 🔥🔥🔥🔥🔥 code
On the Expected Size of Conformal Prediction Sets by Guneet S. Dhillon, George Deligiannidis, Tom Rainforth (University of Oxford, 2023) code🔥🔥🔥🔥🔥
Clinical AI tools must convey predictive uncertainty for each individual patient (2023)🔥🔥🔥🔥🔥
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification by Paul Melki, Lionel Bombrun, Boubacar Diallo, Jérôme Dias, Jean-Pierre Da Costa by EXXACT Robotics (2023) 🔥🔥🔥🔥🔥
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression by Harris Papadopoulos (2023) 🔥🔥🔥🔥🔥
TRIAGE: Characterizing and auditing training data for improved regression by Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar (University of Cambridge, 2023) code) 🔥🔥🔥🔥🔥
Conformal PID Control for Time Series Prediction by Anastasios N. Angelopoulos, Emmanuel J. Candes, Ryan J. Tibshirani (Berkeley/Stanford, NeurIPS2023) code
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model by Jiankai Sun, Jiankai_Sun, Yiqi Jiang, Jianing Qiu, Parth Talpur Nobel, Mykel Kochenderfer, Mac Schwager (Staford, Imperial College, 2023)
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift by Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun (University of Illinois Urbana-Champaign, 2023)
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar (NVIDIA Research, Harvard, Princeton, Stanford 2023) 🔥🔥🔥🔥🔥
Conformal Prediction Sets for Ordinal Classification by Prasenjit Dey, Srujana Merugu, Sivaramakrishnan Kaveri (Amazon, 2023) 🔥🔥🔥🔥🔥
Beyond Confidence: Reliable Models Should Also Consider Atypicality by Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin (Stanford/Rutgers) code 🔥🔥🔥🔥🔥
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning by Paul Scemama, Ariel Kapusta (The Mitre Corporation, 2023)
A powerful rank-based correction to multiple testing under positive dependency by Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick (Bosch AI, 2023)
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models by Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard Zemel (Columbia University, 2023) 🔥🔥🔥🔥🔥
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection by Rahul Vishwakarma, Amin Rezaei (California State University, 2023) 🔥🔥🔥🔥🔥
Uncertainty quantification in automated valuation models with locally weighted conformal prediction by Anders Hjort, Gudmund Horn Hermansen, Johan Pensar, Jonathan P. Williams (University of Oslo, North Carolina State University, 2023) 🔥🔥🔥🔥🔥
Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates by Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann code (University of Pennsylvania, 2023) 🔥🔥🔥🔥🔥
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction by Albert Lin, Somil Bansal (University of Southern California, 2023) 🔥🔥🔥🔥🔥
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms code by Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen (The Netherlands Cancer Institute, University of Amsterdam) (2023)
Forecasting CPI inflation under economic policy and geo-political uncertainties by Shovon Sengupta, Tanujit Chakraborty, Sunny Kumar Singh (Fidelity Investments, Sorbonne University, BITS Pilani Hyderabad). (2023) 🔥🔥🔥🔥🔥code
Conformal prediction of option prices by Bastas Joao (University of Lisbon, 2023) 🔥🔥🔥🔥🔥
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction by Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai (Iowa University, Pennsylvania State University, Georgia Institute of Technology (2024).
Greek Proverbs: Computational Spatial Attribution by John Pavlopoulos and Panos Louridas, Athens University of Economics and Business, Greece (2024)
Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations by Bingkai Wang, Fan Li and Mengxin (University of Michigan, Yale, University of Pennsylvania)
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes by Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb (Universidade Federal de Sao Carlos, Brazil and University of Mons, Belgium, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Predicting Random Walks and a Data-Splitting Prediction Region by Mulubrhan G. Haile, Lingling Zhang, and David J. Olive (Westminster College, University of Albany, Southern Illinois University)
[Conformal Prediction via Regression-as-Classification](Conformal Prediction via Regression-as-Classification](https://openreview.net/forum?id=eKrYMGpXVY) by Etash Guha, Thomas Moellenhoff, Eugene Ndiaye, Shlok Natarajan (RIKEN Center for AI Project Tokyo, Japan, Salesforce, Apple, 2024)
Integrating Uncertainty Awareness into Conformalized Quantile Regression code by Raphael Rossellini, Rina Foygel Barber and Rebecca Willett (University of Chicago, 2023) code 🔥🔥🔥🔥🔥
Conformal Prediction Sets Improve Human Decision Making by Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noel Vouitsis (Layer 6 AI, TD Securities, 2024)
Benchmarking LLMs via Uncertainty Quantification by Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu (Tencent AI Lab, University College London, University of Macau 2024).
ACHO: Adaptive Conformal Hyperparameter Optimization by Ricardo Doyle (2023) 🔥🔥🔥🔥🔥 code
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In-Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction by John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, Prabuddha Hathurusinghe, Mazhar Iqbal, David Schaefer, David J. Lary (University of Texas Dallas, 2024)
Non-Exchangeable Conformal Language Generation with Nearest Neighbors by Dennis Ulmer, Chrysoula Zerva, André F.T. Martins (IT University of Copenhagen, Instituto Superior Técnico, Universidade de Lisboa, 2024) code 🔥🔥🔥🔥🔥
Group-Weighted Conformal Prediction by Aabesh Bhattacharyya, Rina Foygel Barber (University of Chicago, 2024)
Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects by Jef Jonkers, Jarne Verhaeghe, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke (Ghent University, 2024) code
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series by Zitong Yang, Emmanuel Candès, Lihua Lei (Stanford, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) by James Zou, Eric Sun, Rong Ma, Anne Brunet, and Paloma Navarro Negredo (Stanford, Harvard, 2024) code
Conformal Predictive Programming for Chance Constrained Optimization by Yiqi Zhao, Xinyi Yu, Jyotirmoy V. Deshmukh and Lars Lindemann (University of Southern California. 2024) 🔥🔥🔥🔥🔥
Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty by Kaiqu Liang, Zixu Zhang, Jaime Fernandez Fisac(Princeton, 2024) 🔥🔥🔥🔥🔥
Regression Trees for Fast and Adaptive Prediction Intervals by Luben M. C. Cabezasa, Mateus P. Ottoa, Rafael Izbicki, Rafael B. Sternc (Federal University of São Carlos, University of São Paulo,2024) code 🔥🔥🔥🔥🔥
Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Southern California, 2024) 🔥🔥🔥🔥🔥
Conformal Prediction via Regression-as-Classification by Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye (RIKEN AIP, Salesforce, Apple, SambaNova Systems, 2023) code 🔥🔥🔥🔥🔥
Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction by Jun Wang, Guocheng He, and Yiannis Kantaros (Washington University in St Louis, 2024).
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks by Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, Guang Lin (Purdue University, Florida State University, Yale, 2024) 🔥🔥🔥🔥🔥
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access by Jiayuan Su, Jing Luo, Hongwei Wang, Lu Cheng (Zhejiang University, University of Illinois Urbana-Champaign Institute, University of Illinois Chicago, 2024) 🔥🔥🔥🔥🔥
Conformal Language Modeling) by Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay (MIT, Berkeley, Google Research, UC San Francisco, 2023) 🔥🔥🔥🔥🔥
A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach by Skylar X. Wei, Lu Gan, Joel W. Burdick (California Institute of Technology,Georgia Institute of Technology, 2024) 🔥🔥🔥🔥🔥
Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, and Yao Xie (Georgia Tech, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts by Saiveth Hernandez-Hernandez, Qianrong Guo, Pedro Ballester (Imperial College, 2024) 🔥🔥🔥🔥🔥
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model by Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong (The Hong Kong University of Science and Technology (Guangzhou), Lehigh University, Bethlehem, 2024) 🔥🔥🔥🔥🔥
Conformal link prediction for false discovery rate control by Ariane Marandon (Sorbonne Université, 2024)
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction by Justin Lidard, Ariel Bachman, Bryan Boateng, Anirudha Majumdar (Princeton, 2024) 🔥🔥🔥🔥🔥
Predictive Inference in Multi-environment Scenarios by John C. Duchi, Suyash Gupta, Kuanhao Jiang, Pragya Sur (Stanford, Harvard, Amazon, 2024)
Conformal online model aggregation by Matteo Gasparin, Aaditya Ramdas (Carnegie Mellon University, University of Padova, 2024)
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition by Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan (University of Amsterdam, ING, 2024) 🔥🔥🔥🔥🔥
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data by Xin Zou, Weiwei Liu (Wuhan University. 2024)
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets by Yvet Renkema, Nico Brinkel & Tarek Alskaif (Wageningen University, Utrecht University, 2024). 🔥🔥🔥🔥🔥
FDR control and FDP bounds for conformal link prediction by Gilles Blanchard, Guillermo Durand, Ariane Marandon-Carlhian, Romain Périer (University of Paris-Saclay, The Allan Turing Institute).
Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters by Arkadiusz Lipiecki, Bartosz Uniejewski, Rafał Weron (Wrocław University of Science and Technology, 2024)
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Katha, Florian Ziel (University Duisburg-Essen, 2020)
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices by Alessandro Brusaferria, Andrea Ballarinoa, Luigi Grossib, Fabrizio Laurini (CNR, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Universoty of Parma 2024) 🔥🔥🔥🔥
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Katha, Florian Ziel (University Duisburg-Essen, 2020)
A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests by Jef Jonkers, Diego Nieves Avendano, Glenn Van Wallendael, Sofie Van Hoecke (Ghent University, 2024)
CONFLARE: CONFormal LArge language model REtrieval by Pouria Rouzrokh, Shahriar Faghani, Cooper Gamble, Moein Shariatnia, Bradley J. Erickson (Mayo Clinic Artificial Intelligence Laboratory; Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, MN, USA; Tehran University of Medical Sciences) code video 🔥🔥🔥🔥
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data by Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar (Sorbonne University, NIT Meghalaya, Universiti Kebangsaan, University of Philippines, 2024) code 🔥🔥🔥🔥
Pricing Catastrophe Bonds --- a Probabilistic Machine Learning Approach by Xiaowei Chen, Hong Li, Yufan Lu, Rui Zhou (Nankai University, University of Guelph, The University of Melbourne, 2024)
Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction by Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (Florida Polytechnic University, University of Colorado Denver, University of Maryland, 2024)
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
Enhancing the reliability of probabilistic PV power forecasts using conformal prediction by Yvet Renkema, Lennard Visser, Tarek AlSkaif (Wageningen University, Utrecht University, 2024)
Random Projection Ensemble Conformal Prediction for High-Dimensional Classification by Xiaoyu Qian, Jinru Wu, Ligong Wei, Youwu Lin )Guilin University of Electronic Technology, Guangxi Academy of Sciences, Guilin University of Electronic Technology, 2024)
Conformal Predictive Systems Under Covariate Shift by Jef Jonkers, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke (hent University, Belgium) code 🔥🔥🔥🔥🔥
Metric-guided Image Reconstruction Bounds via Conformal Prediction by Matt Y Cheung, Tucker J Netherton, Laurence E Court, Ashok Veeraraghavan, Guha Balakrishnan (The University of Texas MD Anderson Cancer Cente, 2024)
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms by Mehrdad Pournaderi, Yu Xiang (University of Utah, 2024)
Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction by Shili Sheng, Pian Yu, David Parker, Marta Kwiatkowska, Lu Feng (University of Oxford, 2024)
Conformal Prediction of Motion Control Performance for an Automated Vehicle in Presence of Actuator Degradations and Failures by Richard Schubert, Marvin Loba, Jasper Sünnemann, Torben Stolte, Markus Maurer (TU Braunschweig, 2024)
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction by Paulo Henrique dos Santos, Valéria de Carvalho Santos, Eduardo José da Silva Luz (Universidade Federal de Ouro Preto e Instituto Tecnol´ogico Vale, Universidade Federal de Ouro Preto, Brazil 🇧🇷, 2024)
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance by Sebastian Jäger, Felix Biessmann (Berlin University of Applied Sciences and Technology (BHT), Einstein Center Digital Future 🇩🇪, 2024) code 🔥🔥🔥🔥🔥
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande, Charles Marx, Volodymyr Kuleshov (Cornell University, Stanford, 🇺🇸, 2024)
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling by Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman (Northwestern University, 🇺🇸, 2024) code 🔥🔥🔥🔥🔥
Adaptive Conformal Regression with Split-Jackknife+ Scores by Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez (IBM Research, 2023)
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein–Ligand Predictions by Lewis H. Mervin, Avid M. Afzal, Ola Engkvist, and Andreas Bender (2020)
Conformal Prediction for Natural Language Processing: A Survey by Margarida Campos, António Farinhas, Chrisoula Zerva, Mario Figueiredo, Andre Martins (Instituto de Telecomunicações, Instituto Superior Técnico, LUMLIS (Lisbon ELLIS Unit), Unbabel, Portugal, 2024) 🔥🔥🔥🔥🔥
Mitigating LLM Hallucinations via Conformal Abstention by Yasin Abbasi Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev (2024)
CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence by Hongyu Ke, Wanxin Jin, Haoxin Wang (Georgia State University, Arizona State University, 2024)
Conformalized Ordinal Classification with Marginal and Conditional Coverage by Subhrasish Chakraborty, Chhavi Tyagi, Haiyan Qiao, Wenge Guo (New Jersey Institute of Technology, California State University San Bernardino, 2024)
An Information Theoretic Perspective on Conformal Prediction by Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi (Qualcomm AI Research, 2024)
Conformal Prediction with Learned Features by Shayan Kiyani, George Pappas, Hamed Hassani (University of Pennsylvania, 2024)
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction by Protim Bhattacharjee, Peter Jung (Optical Sensor Systems, German Aerospace Center, 2024)
A Conformal Prediction Score that is Robust to Label Noise by Coby Penso, Jacob Goldberger (Bar-Ilan University, Israel, 2024)
Building consumption anomaly detection: A comparative study of two probabilistic approaches by Davor Stjelja, Vladimir Kuzmanovski, Risto Kosonen, Juha Jokisalo (Aalto University, Granlund Oy, Vaisala Oyj, Nanjing Tech University,2024)
Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery by Hua Yan, Heng Tan, Desheng Zhang, Haotian Wang, Yu Yang (Lehigh University, Rutgers University, USA; JD Logistics, Beijing, China)
Improve robustness of machine learning via efficient optimization and conformal prediction by Yan Yan (Washington State University, 2024)
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration by Shi-ang Qi, Yakun Yu, Russell Greiner (University of Alberta, 2024)
Conformal Online Auction Design by Jiale Han, Xiaowu Dai (University of California, 2024)
Conformal Validity Guarantees Exist for Any Data Distribution by Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria (John Hopkins University Genentech, 2024) code 💎💎💎💎💎🔥🔥🔥🔥🔥
Kernel-based optimally weighted conformal prediction intervals by Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Reliable anti-cancer drug sensitivity prediction and prioritization by Kerstin Lenhof, Lea Eckhart, Lisa-Marie Rolli, Andrea Volkamer & Hans-Peter Lenhof (Saarland University, 2024)
Robust Conformal Prediction Using Privileged Information by Shai Feldman, Yaniv Romano (2024)
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs, Emmanuel J. Candès code (2024) 🔥🔥🔥🔥🔥
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift by Huiqun Huang, Sihong He, Fei Miao (University of Connecticut, 2024)
Conditional Shift-Robust Conformal Prediction for Graph Neural Network by Akansha Singh (Manipal Academy of Higher Education (MAHE) - Manipal Institute of Technology, 2024)
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs, Emmanuel J. Candès (Stanford, 2024) 🔥🔥🔥🔥🔥
Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Kernel-based optimally weighted conformal prediction intervals Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Transformer Conformal Prediction for Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Identifying Homogeneous and Interpretable Groups for Conformal Prediction by Natalia Martinez, Dhaval C Patel, Chandra Reddy, Giridhar Ganapavarapu, Roman Vaculin, Jayant Kalagnanam (IBM Research, 2024)
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing by Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann (Fraunhofer Institute for Cognitive Systems IKS, Munich, Germany; Volkswagen Group Innovation; Technical Univ. of Munich, 2024)
[Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions](Michelle Zhao, Reid Simmons, Henny Admoni, Andrea Bajcsy) by Michelle Zhao, Reid Simmons, Henny Admoni, Andrea Bajcsy (Robotics Institute, Carnegie Mellon University, 2024)
Conformal Load Prediction with Transductive Graph Autoencoders by Rui Luo, Nicolo Colombo (City University of Hong Kong; Royal Holloway, University of London, 2024) code
Conformal Recursive Feature Elimination by Marcos Lopez-De-Castro, Alberto Garcıa-Galindo, Ruben Armananzas (Universidad de Navarra, 2024)
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference Carlos Sebastiana,Carlos E. Gonzalez-Guillenc, Jesus Juane (Fortia Energıa, Universidad Politecnica de Madrid, Instituto de Ciencias Matematicas, Madrid) code (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal time series decomposition with component-wise exchangeability by Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans (University of Amsterdam, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction Jun Wang, Guocheng He, Yiannis Kantaros (Washington University in St Louis, 2024)
Online Calibrated and Conformal Prediction Improves Bayesian Optimization by Shachi Deshpande, Charles Marx, Volodymyr Kuleshov (Cornell Tech and Cornell University, Stanford, 2024)
An Information Theoretic Perspective on Conformal Prediction by Alvaro H.C. Correia Fabio Valerio Massoli Christos Louizos† Arash Behboodi (Qualcomm AI Research, 2024)
Conformal Prediction for Natural Language Processing: A Survey by Margarida M. Campos, António Farinhas, Chrysoula Zerva, Mário A.T. Figueiredo, André F.T. Martins (Instituto de Telecomunicações, Instituto Superior Técnico, LUMLIS (Lisbon ELLIS Unit), Unbabel, 2024)
Conformal Prediction for Causal Effects of Continuous Treatments by Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Heß, Valentyn Melnychuk, Stefan Feuerriegel (LMU Munich, 2024) 🔥🔥🔥🔥🔥
Uncertainty-Aware Decarbonization for Datacenters by Amy Li, Sihang Liu, Yi Ding (Uiversity of Waterloo, 2024)
Conditionally valid Probabilistic Conformal Prediction by Vincent Plassier, Alexander Fishkov, Maxim Panov, Eric Moulines (Lagrange Mathematics and Computing Research Center, Mohamed bin Zayed University of Artificial Intelligence, CMAP, Ecole Polytechnique, Skolkovo Institute of Science and Technology (2024)
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. by Harrie Oosterhuis,Zhen Qin, Xuanhui Wang, Rolf Jagerman, Michael Bendersky, (Radbound University, Google Research, 2024)
Trustworthy Classification through Rank-Based Conformal Prediction Sets by Rui Luo, Zhixin Zhou (City University of Hong Kong, 2024)
Distributionally robust risk evaluation with an isotonic constraint by Yu Gui, Rina Foygel Barber, Cong Ma (University of Chicago, 2024) code
Split Conformal Prediction under Data Contamination by Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert code
Weighted Aggregation of Conformity Scores for Classification by Rui Luo, Zhixin Zhou (2024)
Meta-Analysis with Untrusted Data by Shiva Kaul, Geoffrey J. Gordon (Carnegie Mellon, 2024)
Robust Yet Efficient Conformal Prediction Sets by Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski (University of Cologne, 2024)
Learning Cellular Network Connection Quality with Conformal by Hanyang Jiang, Elizabeth Belding, Ellen Zegure, Yao Xie (Universiry of Georgia, 2024)
Conformal Thresholded Intervals for Efficient Regression by Rui Luo, Zhixin Zhou (City University of Hong Kong, 2024)
Conformal Predictions under Markovian Data by Frédéric Zheng, Alexandre Proutiere (KTH, 2024)
Entropy Reweighted Conformal Classification by Rui Luo, Nicolo Colombo (City University of Hong Kong, Hong Kong, Royal Holloway, University of London). 🔥🔥🔥🔥🔥
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning by Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit K. Roy-Chowdhury, Jiachen Li (University of California, Riverside) project
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) by Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria (John Hopkins University, Genentech, 2024) video
Robust Conformal Volume Estimation in 3D Medical Images by Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat (University Grenoble Alps, 2024) code
A CONFORMALIZED LEARNING OF A PREDICTION SET WITH APPLICATIONS TO MEDICAL IMAGING CLASSIFICATION by Roy Hirsch, Jacob Goldberger (Bar-Ilan University, Ramat-Gan, Israel, 2024)
Quantifying uncertainty in climate projections with conformal ensembles by Trevor Harris, Ryan Sriver (Texas A&M University, University of Illinois at Urbana Champaign, 2024) 🔥🔥🔥🔥🔥
CONFORMALIZED INTERVAL ARITHMETIC WITH SYMMETRIC CALIBRATION by Rui Luo and Zhixin Zhoi (City University of Hong Kong, 2024) code 🔥🔥🔥🔥🔥
Split Conformal Prediction and Non-Exchangeable Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Brazil, 2024) code
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification by Alek Frohlic, Thiago Ramos, Gustavo Cabello, Isabela Buzatto, Rafael Izbicki, Daniel Tiezzi (UFSC, Florianopolis, UFSCar, Sao Carlos, USP, Ribeirao Preto, Brazil) (2024)
Conformal Prediction in Dynamic Biological Systems by Alberto Portela, Julio R. Banga, Marcos Matabuena (Spanish National Research Council, Harvard University) (2024)
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification by Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong (University of Macau, Southern University of Science and Technology, China University of Geosciences, 2024)
Formal Verification and Control with Conformal Prediction by Lars Lindemann, Yiqi Zhao, Xinyi Yu, George J. Pappas, Jyotirmoy V. Deshmukh (University of Southern California, University of Pennsylvania) (2024)
Segmentation uncertainty with statistical guarantees in prostate MRI Kevin Mekhaphan Nguyen, Alvaro Fernandez-Quilez, University of Stavanger, Norway. Stavanger University Hospital, Stavanger, Norway (2024)
Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction by Biraja Ghoshal, William Woof, Bernardo Mendes et al (University College London Institute of Ophthalmology, Moorfields Eye Hospital, Oxford Eye Hospital, Oxford, United Kingdom, Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Japan, St Paul’s Eye Unit, Liverpool University Hospitals NHS Foundation Trust,Liverpool, United Kingdom, Department of Ophthalmology and Visual Sciences, Escola Paulista de Medicina, Federal University of Sao Paulo, São Paulo, SP, Brazil, Department of Ophthalmology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms Universität Bonn, Germany, 2024). 🔥🔥🔥🔥🔥
Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability 🔥🔥🔥🔥
Conformal Multilayer Perceptron-Based Probabilistic Net-Load Forecasting for Low-Voltage Distribution Systems with Photovoltaic Generation by Anthony Faustine and Lucas Pereira, Center for Intelligent Power (CIP), Eaton Corporation, Dublin, Ireland; †ITI, LARSyS, Tecnico Lisboa, Lisbon, Portugal (2024)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference by Hengrui Cai, Huaqing Jin, Lexin Li (University of California Irvine, University of California San Francisco, University of California Berkeley, 2024).
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration by Luís Marques, Dmitry Berenson (University of Michigan, Ann Arbour, USA) project
On the uncertainty of real estate price predictions by João A. Bastos, Jeanne Paquette (University of Lisbon, Portugal, 2024)
Adaptive Uncertainty Quantification for Generative AI by Jungeum Kim, Sean O'Hagan, Veronika Rockova (University of Chicago, 2024) code
Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction by Leying Guan (Yale University, 2022) 🔥🔥🔥🔥🔥
Split Localized Conformal Prediction by Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu (University of Texas at Austin, 2022) code
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection by Yujin Han, Mingwenchan Xu, Leying Guan (Universtity of Hong Kong, Northwestern University, Yale University, 2024) code
Length Optimization in Conformal Prediction by Shayan Kiyani, George Pappas, Hamed Hassani (University of Pennsylvania,2024) code 🔥🔥🔥🔥🔥
Adjusting Regression Models for Conditional Uncertainty Calibration by Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus (Naveen Jindal School of Management, University of Texas at Dallas, University of Florida, Gainesville, Netflix, Cornell University, 2024) code 🔥🔥🔥🔥🔥
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction by Jeffrey Wen, Rizwan Ahma. Philip Schniter (The Ohio State University) code
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction by Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick (University of Amsterdam, Bosch Centre for AI, 2024)
Robust Conformal Prediction Using Privileged Information by Shai Feldman, Yaniv Romano (Technion, 2024) NeurIPS2024
Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, Berkeley, 2024) 🔥🔥🔥🔥🔥
Similarity-Navigated Conformal Prediction for Graph by Jianqing Song, Jianguo Huang,Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang (Nanjing University, Southern University of Science and Technology, ShanghaiTech University, 2024)
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration by Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan (Washington State University, 2024)
Detecting Railway Track Irregularities Using Conformal Prediction by Andreas Plesner, Allan P. Engsig-Karup, Hans True (ETH Zurich, Technical University of Denmark, 2024)
CoPAL: Conformal Prediction for Active Learning with Application to Remaining Useful Life Estimation in Predictive Maintenance by Zahra Kharazian, Tony Lindgren, Sindri Magnusson, Henrik Bostrom (KTH Royal Institute of Technology, Stockholm University, Sweden, 2024)
ConForME: Multi-horizon conformal time series forecasting by Aloysio Galvao Lopes, Eric Goubault, Sylvie Putot, Laurent Pautet (Institut Polytechnique de Paris, LTCI, Telecom Paris, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
[PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification]
Unsupervised radiometric change detection from synthetic aperture radar images Thomas Bultingaire , Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin (LTCI, Tel´ ecom Paris, Institut Polytechnique de Paris, Universite Jean Monnet Saint-Etienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien, France 2024)
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints by Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone (King's College London, UK, Aaborg University, Denmark).
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction by Jeffrey Wen, Rizwan Ahmad, Phillip Schniter code
Self-Calibrating Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, Berkeley, 2024)
Boosted Conformal Prediction Intervals by Ran Xie, Rina Foygel Barber, Emmanuel J. Candès (Stanford, University of Chicago, 2024)
Verifiably Robust Conformal Prediction by Linus Jeary, Tom Kuipers, Mehran Hosseini, Nicola Paoletti (King’s College London, UK, 2024)
Similarity-Navigated Conformal Prediction for Graph Neural Networks by Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang (Nanjing University, Southern University of Science and Technology, ShanghaiTech University, 2024)
Estimating Quality of Approximated Shapley Values Using Conformal Prediction by Amr Alkhatib, Henrik Bostrom, Ulf Johansson (KTH Royal Institute of Technology, Jonkoping University, Sweden, 2024)
Clustered Conformal Prediction for the Housing Market by Anders Hjort,Jonathan P. Williams, Johan Pensar (University of Oslo,North Carolina State University, 2024)
Conformal Stability Measure for Feature Selection Algorithms by Marcos Lopez-De-Castro, Alberto Garcıa-Galindo, Ruben Armananzas (Universidad de Navarra, Spain, 2024)
The Uncertain Object: Application of Conformal Prediction to Aerial and Satellite Images Vicky Copley, Greg Finlay, Ben Hiett (DSTL, UK, 2024)
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver by Solène Vilfroy, Lionel Bombrun, Thierry Urruty, Thierry Urruty, Philippe Carré (Thales, France, 2024)
Multi-Class Classification With Reject Option and Performance Guarantees Using Conformal Prediction by Alberto Garcıa-Galindo, Marcos Lopez-De-Castro, Rubeen Armananzas (Universidad de Navarra, Spain, 2024)
Multi-label Conformal Prediction with a Mahalanobis Distance Nonconformity Measure by Kostas Katsios, Harris Papadopoulos (Frederick University, Cyprus, Albourne Partners Ltd, London, UK, 2024)
Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments by Achref Doula, Tobias Güdelhöfer, Max Mühlhäuser, Alejandro Sanchez Guinea (Technische Universität Darmstadt, Germany, 2024)
Conformal prediction with local weights: randomization enables robust guarantees by Rohan Hore, Rina Foygel Barber (University of Chicago, 2024) code 🔥🔥🔥🔥🔥
Posterior Conformal Prediction by https://arxiv.org/abs/2409.19712 (Standord, 2024) code 🔥🔥🔥🔥🔥
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty by Luca Mossina, Joseba Dalmau, Léo Andéol (IRT Saint Exupery, Toulouse; Institut de Mathe ́matiques de Toulouse; Toulouse, SNCF,France) code
Conformal Prediction: A Data Perspective by Xiaofan Zhou, Baiting Chen, Yu Gui, Lu Cheng (University of illinois, UCLA, University of Chicago, 2024)
Conformal Structured Prediction by Botong Zhang, Shuo Li, Osbert Bastani (University of Pennsylvania, 2024)
[Online conformal inference for multi-step time series forecasting](Online conformal inference for multi-step time series forecasting) by Xiaoqian Wang, Rob J Hyndman (Monash Universify, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 paper code conformalForecast R package
Optimizing Probabilistic Conformal Prediction with Vectorized Non-Conformity Scores by Minxing Zheng, Shixiang Zhu (University of Southern California, Carnegie Mellon University, 2024) 🔥🔥🔥🔥🔥 code
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets by Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei (Southern University of Science and Technology 2Department of Computer and Information Science, University of Macau, Nanyang Technological University, South China University of Technology, 2024)
Distribution-free uncertainty quantification for inverse problems: application to weak lensing mass mapping by Leterme, Fadili and Starck (Université Caen Normandie, Université Paris-Saclay, Université Paris Cité, France; Institutes of Computer Science and Astrophysics, Greece, 2024)
Conformal Predictive Portfolio Selection by Masahiro Kato (Mizuho-DL Financial Technology, 2024) 🔥🔥🔥🔥
Conformal Prediction in Finance by Miquel Noguer i Alonso Artificial Intelligence in Finance Institute (2024)
Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography by Ang Nan Gu, Michael Tsang, Hooman Vaseli, Teresa Tsang, Purang Abolmaesumi (University of British Columbia, Vancouver; Division of Cardiology, Vancouver General Hospital,2024) code
Target Strangeness: A Novel Conformal Prediction Difficulty Estimator by Alexis Bose, Jonathan Ethier, Paul Guinand (Alexis Bose, Jonathan Ethier, Paul Guinand, 2024) [code](https://arxiv.org/src/2410.19077v1/anc/cp_mm_targ_strg.tar.xz see arXiv for more details)
Neural networks pipeline for quality management in IVF laboratory by Sergei Sergeev, Iuliia Diakova, Lasha Nadirashvili (Georgian-German Reproductive Center, Tbilisi, Georgia; IVF, IVF and Genetic Center, Moscow, Russian Federation, IVF, ART-IVF Clinic, Moscow, Russian Federation)
Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, UC Berkeley and UCSF, 2024) code 🔥🔥🔥🔥🔥
Semiparametric conformal prediction by Ji Won Park, Robert Tibshirani, Kyunghyun Cho (Genentech, Stanford, 2024)
Strategic Conformal Prediction by Daniel Csillag, Claudio José Struchiner, Guilherme (School of Applied Mathematics Fundacao Getulio Vargas, Brazil, 2024)
Uncertainty measurement for complex event prediction in safety-critical systems by Maria J. P. Peixoto, Akramul Azim (Ontario Tech University)
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data by John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia Lasserre, Homayoun Najjaran (University of British Columbia, University of Victoria, University of British Columbia, Canada) code
Reliable Central Nervous System Tumor Differentiation on MRI Images with Deep Neural Networks and Conformal Prediction bu Luis Balderas, María Moreno de Castro, Miguel Lastra, Jose P. Martínez, Francisco J. Pérez, Antonio Laínez, Antonio Arauzo-Azofra5 and José M. Benítez (University of Granada, Hospital Universitario “Virgen de las Nieves”, Granada; Instituto Biosanitario de Granada, University of Córdoba, Spain)
Multi-model Ensemble Conformal Prediction in Dynamic Environments by Erfan Hajihashemi, Yanning Shen(University of California, Irvine)
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry by Thomas Bruys, Reza Zandehshahvar, Amira Hijazi, Pascal Van Hentenryck (Georgia Institute of Technology, Atlanta, USA, 2024)
Predictive Inference With Fast Feature Conformal Prediction by Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng (Shanghai University of Finance and Economics, Tiangong University, 2024) code
Spatial Conformal Inference through Localized Quantile Regression by Hanyang Jiang, Yao Xie (2024)
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction by Xiayin Loua, Peng Luob, Liqiu Menga (Technical University of Munich, Massachusetts Institute of Technology)
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction by Chanon Puttanawarut, Romen Samuel Wabina, Nat Sirirutbunkajorn (Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, 2024)
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
Adaptive Conformal Inference by Betting by Aleksandr Podkopaev, Darren Xu, Kuang-chih Lee (Wallmart Global Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training by Ting Wang, Zhixin Zhou, Rui Luo (City University of Hong Kong, Alpha Benito Research, Los Angeles, USA, 2025) code
Selection from Hierarchical Data with Conformal e-values by Yonghoon Lee, Zhimei Ren (Wharton School, University of Pennsylvania, 2025)
Using Monte Carlo conformal prediction to evaluate the uncertainty of deep learning soil spectral models by Yin-Chung Huang, José Padarian, Budiman Minasny, and Alex B. McBratney (The University of Sydney,2025)
Conformal Thresholded Intervals for Efficient Regression by Rui Luo and Zhixin Zhou (City University of Hong Kong; Alpha Benito Research, Los Angeles, USA) code
Conformalized Interval Arithmetic with Symmetric Calibration by Rui Luo and Zhixin Zhou (City University of Hong Kong; Alpha Benito Research, Los Angeles, USA) code
Learning Robot Safety from Sparse Human Feedback using Conformal Prediction by (Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang, Jun En Low, and Mac Schwager, Stanford 2025) project code 🔥🔥🔥🔥🔥
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction by Paul Melki, Lionel Bombrun, Boubacar Diallo, Jérôme Dias, Jean-Pierre da Costa (Univ. Bordeaux, EXXACT Robotics, Bordeaux Sciences Agro,2025).
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores by Jivat Neet Kaur, Michael I. Jordan, Ahmed Alaa (University of California, Berkeley, Inria, Paris, 2025)
Uncertainty Estimation for Path Loss and Radio Metric Models by Alexis Bose, Jonathan Ethier, Ryan G. Dempsey, Yifeng Qiu, (Communications Research Centre Canada (CRC), Ottawa, Ontario, Canada, 2025)
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference by Carlos Sebastián, Carlos E. González-Guillén, Jesús Juan (Fortia Energía, Universidad Politécnica de Madrid, Departamento de Matemática Aplicada a la Ingeniería Industrial, Instituto de Ciencias Matemáticas (CSIC-UAM-UC3M-UCM), Laboratorio de Estadística, Spain, 2025)
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering by Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach (Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2025).
Estimating the Conformal Prediction Threshold from Noisy Labels by Coby Penso, Jacob Goldberger, Ethan Fetaya, 2025)
Neural Conformal Control for Time Series Forecasting](https://arxiv.org/abs/2412.18144) by Ruipu Li, Alexander Rodrıguez (University of Michigan, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Robust Online Conformal Prediction under Uniform Label Noise by Huajun Xi, Kangdao Liu, Hao Zeng, Wenguang Sun, Hongxin Wei (Southern University of Science and Technology, University of Macau, Zhejiang University. China, 2025).
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction by Anders Hjort, Gudmund Horn Hermansen, Johan Pensar, Jonathan P. Williams (University of Oslo, Norway; North Carolina State University, 2025).
Error-quantified Conformal Inference for Time Series by Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou (Nankai University, Tsinghua University, China, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥code
Conformal Predictions for Longitudinal Data code by Devesh Batra, Salvatore Mercuri, Raad Khraishi (Data Science & Innovation, NatWest Group, Institute of Finance and Technology, UCL, London, United Kingdom, 2023).
Prediction Sets and Conformal Inference with Censored Outcomes by Weiguang Liu, Áureo de Paula, Elie Tamer (UCL, Harvard, 2025).
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction by Lars van der Laan, Ahmed Alaa (University of Washington, Berkekey, 2025).
Multivariate Conformal Prediction using Optimal Transport by Michal Klein, Louis Bethune, Eugene Ndiaye, Marco Cuturi (Apple Research, 2025).
Wasserstein-regularized Conformal Prediction under General Distribution Shift by Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie (The Hong Kong University of Science and Technology (Guangzhou), Harbin Institute of Technology, Lehigh University, 2025) code
Conformalized Time Series with Semantic Features by Baiting Chen, Zhimei Ren, Lu Cheng (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Language Models Can Predict Their Own Behavior by Dhananjay Ashok, Jonathan May (2025)
Relational Conformal Prediction for Correlated Time Series by Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi (2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Improved Online Conformal Prediction via Strongly Adaptive Online Learning - Aadyot Bhatnagar, Dylan J. Foster, Sivaraman Balakrishnan, Aaditya Ramdas, 2023.
Conformal Prediction Under Covariate Shift - Aaditya Ramdas, Ryan Tibshirani, 2015.
Conformalized Quantile Regression - Yaniv Romano, Evan Patterson, Emmanuel J. Candès, (Standord, 2019).
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies website by Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Miller, Robert Lee, Paarth Shah, Rares Andrei Ambrus, Haruki Nishimura, Masha Itkina (Toyota Research Institute, Woven by Toyota 2025) 🔥🔥🔥🔥🔥
Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions by Richard Berk,Amy Braverman (University of Pennsylvania, The Jet Propulsion Laboratory (Caltech)).
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction by Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi, Marco Capuccini, Pekka Ruusuvuori, Hemamali Samaratunga, Brett Delahunt, Cecilia Lindskog, Emiel A M Janssen, Anders Blilie, Lars Egevad, Ola Spjuth, Martin Eklund (2022)
Minimum Volume Conformal Sets for Multivariate Regression by Sacha Braun, Liviu Aolaritei, Michael I. Jordan, Francis Bach (Inria, Berkeley) (2025)
Unifying Different Theories of Conformal Prediction by Rina Foygel Barber, Ryan J. Tibshiran (University of Chicago, Berkeley, 2025) 🔥🔥🔥🔥🔥
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos by Daniel Etaat, Dvij Kalaria, Nima Rahmanian, Shankar Sastry (Berkeley, 2025) project 🔥🔥🔥🔥🔥
[Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning] 🔥🔥🔥🔥🔥(https://arxiv.org/abs/2504.15240) by Amirhossein Mollaali, Christian Bolivar Moya, Amanda A. Howard, Alexander Heinlein, Panos Stinis, Guang Lin (Purdue University, 2025)
Backward Conformal Prediction by Etienne Gauthier, Francis Bach, Michael I. Jordan (INRIA, Berkeley, 2025) 🔥🔥🔥🔥🔥
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals by Marouane Il Idrissi, Agathe Fernandes Machadoa, Ewen Gallicc, Arthur Charpentiera (Université du Québec à Montréal, Université Laval, Universite de Montréal, Marseille Univ, 2025) 🔥🔥🔥🔥🔥
Synthetic-Powered Predictive Inference by Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano (Technion, The Wharton School, University of Pennsylvania, 2025).
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events by Olivier C. Pasche, Henry Lam, Sebastian Engelke (University of Geneva, Columbia University, 2025). 🔥🔥🔥🔥🔥
STACI: Spatio-Temporal Aleatoric Conformal Inference by Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, and Brian J. Reich (North Carolina State University, Brookhaven National Laboratory. 2025) 🔥🔥🔥🔥🔥
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows by Eshant English, Christoph Lippert (Hasso Plattner Institute for Digital Engineering, Germany; University of Tokyo, Tokyo, Japan, 2025)
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score by Xuanning Zhou, Hao Zeng, Xiaobo Xia, Bingyi Jing, Hongxin Wei (Southern University of Science and Technology, Harbin Institute of Technology, National University of Singapore, 2025). 🔥🔥🔥🔥🔥
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification by Long Hui, Wai Lok Yeung (2025)
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays by Long Hui (Independent Researcher, 2025)
Individualised Counterfactual Examples Using Conformal Prediction Intervals by James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott (The Alan Turing Institute, University of Oxford, University Of Edinburgh, University Of Warwick, University, United Kingdom 2025).
CP-Router: An Uncertainty-Aware Router Between LLM and LRM by Jiayuan Su, Fulin Lin, Zhaopeng Feng, Han Zheng, Teng Wang, Zhenyu Xiao, Xinlong Zhao, Zuozhu Liu, Lu Cheng, Hongwei Wang (Zhejiang University, 2University of Hong Kong, Tsinghua University, Peking University, University of Illinois Chicago, 2025) 🔥🔥🔥🔥🔥
A Modern Theory of Cross-Validation through the Lens of Stability by Jing Lei, Carnegie Mellon, 2025. 🔥🔥🔥🔥🔥
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts by Shadi Alijani, Homayoun Najjaran, University of Victoria, Canada, 2025
Optimal Conformal Prediction under Epistemic Uncertainty by Alireza Javanmardi, Soroush H. Zargarbashi, Santo M. A. R. Thies, Willem Waegeman, Aleksandar Bojchevski, Eyke Hüllermeier (LMU Munich, MCML, CISPA, University of Cologn, Ghent University, 2025)
[Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction](by Morteza Rakhshaninejad, Mira Jurgens, Nicolas Dewolf, Willem Waegeman, Ghent University, 2025).
[Prediction of the classification, labelling and packaging regulation H-statements with confidence using conformal prediction with N-grams and molecular fingerprints])(https://www.sciencedirect.com/science/article/pii/S2666027X25000283) by Ulf Norinder, Ziye Zheng, Ian Cotgreave ( Stockholm University, Orebro University, Research Institute of Sweden (RISE), 2025)
Stacked conformal prediction by Paulo C. Marques F (Insper Institute of Education and Research, Brazil, 2025) 🔥🔥🔥🔥🔥
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP by Alya Zouzou, Léo andéol, Mélanie Ducoffe, Ryma Boumazouza (Airbus, SNCF, IRT Saint Exupery, France, 2025).
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings by Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab (University of Stuttgart, Bosch Center for AI; University of Oxford, University of Cambridge, Stanford University, University of Oslo, University of Southampton, 2025).
Multivariate Latent Recalibration for Conditional Normalizing Flows by Victor Dheur, Souhaib Ben Taieb (University of Mons, Belgium, Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates, 2025).
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals by Marouane Idrissi, Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier (Université du Québec à Montréal, Université Laval,Université de Montréal, Aix Marseille Univ, 2025) 🔥🔥🔥🔥🔥
Conformalized Decision Risk Assessment by Wenbin Zhou, Agni Orfanoudaki, Shixiang Zhu (Carnegie Mellon University University of Oxford, 2025)
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition by Bruno Viti, Elias Karabelas, Martin Holler (University of Graz, Austria, 2025)
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers by Mehran Zoravar, Shadi Alijani, Homayoun Najjaran (University of Victoria, Canada, 2025).
Privacy-Preserving Conformal Prediction Under Local Differential Privacy by Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet (Bar-Ilan University, 2025).
Synthetic-Powered Predictive Inference by Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano (Technion IIT, The Wharton School, University of Pennsylvania, 2025) 🔥🔥🔥🔥🔥
Improving Coverage in Combined Prediction Sets with Weighted p-values by Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa, Anqi Liu (Johns Hopkins University. 2025) 🔥🔥🔥🔥🔥
Conformal Prediction for Zero-Shot Models by Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz code
On Temperature Scaling and Conformal Prediction of Deep Classifiers by Lahav Dabah,Tom Tirer (Bar-Ilan University, 2025) code 🔥🔥🔥🔥🔥
Gaussian process interpolation with conformal prediction: methods and comparative analysis by Aurélien Pion, Emmanuel Vazquez (Université Paris-Saclay, Transvalor S.A.,France) 🔥🔥🔥🔥🔥 code
E-Values Expand the Scope of Conformal Prediction by Etienne Gauthier, Francis Bach, Michael I. Jordan (Inria, Berkeley, 2025) code
One Sample is Enough to Make Conformal Prediction Robust by Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski (CISPA Helmholtz Center for Information Security, University of Cologne, 2025).
Foundation models for time series forecasting: Application in conformal prediction by Sami Achour, Yassine Bouher, Duong Nguyen, Nicolas Chesneau (Ekimetrics, Ecole Polytechnique, 2025) code
Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich and Nijat Mehdiyev (German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany; Saarland University, 66123 Saarbrücken, Germany (2025).
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems by Jeffrey Wen, Rizwan Ahmad, Philip Schniter (Ohio State University, 2025)
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models by Sima Nooran, Shayan Kiyani, George Pappas, and Hamed Hassani (University of Pennsylvania, 2025)
Conformal Prediction for Zero-Shot Models by Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz (ETS Montreal, 2025)
Conformal Inference for Reliable Single Cell RNA-seq Annotation Open Access by Marcos López-De-Castro, Alberto García-Galindo, José González-Gomariz, Rubén Armañanzas (University of Navarra) code
CONFLARE: CONFormal LArge language model REtrieval by Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble, Moein Shariatnia, Bradley J. Erickson (Mayo Clinic, Tehran University of Medical Sciences, 2024). 🔥🔥🔥🔥🔥 best paper award ASFNR2025
Conformal prediction without knowledge of labeled calibration data by Jonas Flechsig, Maximilian Pilz (Fraunhofer Institute for Industrial Mathematics, Ohm University of Applied Sciences Nuremberg, 2025) 🔥🔥🔥🔥🔥
Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting by Agnideep Aich, Ashit Baran Aich, Dipak C. Jain (University of Louisiana at Lafayette, Louisiana, USA; CEIBS, Shanghai, China) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Leave-One-Out Stable Conformal Prediction by Kiljae Lee, Yuan Zhang (The Ohia State University, 2025) code
Predictive inference for time series: why is split conformal effective despite temporal dependence? by Rina Foygel Barber, Ashwin Pananjady (University of Chicago, Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Relevance-Aware Thresholding in Online Conformal Prediction for Time Series by Théo Dupuy, Binbin Xu, Stéphane Perrey, Jacky Montmain, Abdelhak Imoussaten (IMT Mines Ales, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Split Conformal Classification with Unsupervised Calibration by Santiago Mazuelas (BCAM-Basque Center for Applied Mathematics and IKERBASQUE-Basque Foundation for Science, 2025) code 🔥🔥🔥🔥🔥
Prediction Intervals for Model Averaging by Zhongjun Qu, Wendun Wang, Xiaomeng Zhang (Boston University, Erasmus University Rotterdam, 2025) 🔥🔥🔥🔥🔥
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction by Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized Time Series with Semantic Features Baiting Chen, Zhimei Ren, Lu Cheng (UCLA, University of Pennsylvania, University of Illinois Chicago, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data by Alvaro Correia, Christos Louizos (Qualcomm AI Researchl 2025) 🔥🔥🔥🔥🔥
Conformal prediction for frequency-severity modeling by Helton Graziadei, Paulo C. Marques F., Eduardo F. L. de Melo, Rodrigo S. Targino (Getulio Vargas Foundation, Insper Institute of Education and Research, SUSEP - Superintendence of Private Insurance, UERJ - State University of Rio de Janeiro, 2025) code 🔥🔥🔥🔥🔥
Are you sure? Measuring models bias in content moderation through uncertainty by Alessandra Urbinati, Mirko Lai, Simona Frenda, Marco Antonio Stranisci(Northeastern University, Heriot-Watt University, aequa-tech, Torino, Italy; Università del Piemonte Orientale, 2025)
Residual Distribution Predictive Systems by Sam Allen, Enrico Pescara, Johanna Ziegel (KIT, ETH, 2025) code
Conformal Information Pursuit for Interactively Guiding Large Language Models by Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal (University of Pennsylvania, 2025) #LLM 🔥🔥🔥🔥🔥
Conformal Prediction for Hierarchical Data by Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi (Université Paris-Saclay, EDF R&D, Inria, Laboratoire de mathématiques d’Orsay, France, 2025) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
CLAPS: Posterior-Aware Conformal Intervals via Last-Layer Laplace by Dongseok Kim, Hyoungsun Choi, Mohamed Jismy Aashik Rasool, Gisung Oh (Gachon University,2025) 🔥🔥🔥🔥🔥
Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction by Echo Diyun LU, Charles Findling, Marianne Clausel, Alessandro Leite, Wei Gong, Pierric Kersaudy (University of Lorraine, Pernod Ricard, INSA Rouen Normandy, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Flow-based Conformal Prediction for Multi-dimensional Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Bandits: Bringing statistical validity and reward efficiency to the small-gap regime by Simone Cuonzo, Nina Deliu (Sapienza University of Rome, 2025).
Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics by Jack Y. Araz, Michael Spannowsky (University College London, City St. George’s - University of London, Durham University) 🔥🔥🔥🔥🔥
Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction by Qianyi Chen, Bo Li (Tsinghua University, China, 2026) code 🔥🔥🔥🔥🔥
Fast Conformal Prediction using Conditional Interquantile Intervals by Naixin Guo, Rui Luo, Zhixin Zhou (City University of Hong Kong, Alpha Benito Research,2026) code
Flow-Based Conformal Predictive Distributions by Trevor Harris (University of Connecticut, 2026)
Quantifying Epistemic Predictive Uncertainty in Conformal Prediction by Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale and Michele Caprio (Nanyang Technological University, Singapore; Helmholtz Center for Information Security, Germany; MU Munich; Center for Machine Learning, Germany; Manchester Centre for AI Fundamentals; The University of Manchester, United Kingdom, 2026)
[Comparative analysis of conformal prediction techniques and machine learning models for very short-term solar power forecasting](Comparative analysis of conformal prediction techniques and machine learning models for very short-term solar power forecasting](https://www.sciencedirect.com/science/article/pii/S2666546825001053) by Nguyen Binh Nam, Emanuele Oglia,Sonia Leva, Emilio Pafumi, Davide Alberti, Minh Quan Duong (Politecnico di Milano, The University of Da Nang, 2026).
Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting (University of Louisiana at Lafayette, China Europe International Business School (CEIBS), 2026)
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction by (EMNLP 2025) LLM 🔥🔥🔥🔥🔥
TECP: Token-Entropy Conformal Prediction for LLMs (MDPI Mathematics, 2025) LLM 🔥🔥🔥🔥🔥
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction (ICML 2025) LLM 🔥🔥🔥🔥🔥
Selective Conformal Uncertainty in Large Language Models (ACL 2025) LLM 🔥🔥🔥🔥🔥
Conformal Prediction for Natural Language Processing: A Survey TACL SURVEY NLP 🔥🔥🔥🔥🔥
Conformal Language Modeling LLM 🔥🔥🔥🔥🔥
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets by Luca Mossina and Corentin Friedrich (MICCAI 2025) Springer COMPUTER VISION 🔥🔥🔥🔥🔥
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics (2025) MEDICAL IMAGING 🔥🔥🔥🔥🔥
Full Conformal Adaptation of Medical Vision-Language Models (2025) VLM MEDICAL 🔥🔥🔥🔥🔥
Conditional Conformal Risk Adaptation (2025) RISK CONTROL SEGMENTATION 🔥🔥🔥🔥🔥
A conformalized learning of a prediction set with applications to medical imaging classification (2024) MEDICAL IMAGING 🔥🔥🔥🔥🔥

Conformal Prediction for Time Series Forecasting

Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 Python Code Video Video ICML2021
Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) Video NeurIPS2021 Video TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (2022). TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES 🔥🔥🔥🔥🔥 Code
Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomé, University of Aveiro (2022) Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
Copula Conformal Prediction for Multi-step Time Series Forecasting by Sophia Sun, Rose Yu (University of California, San Diego, 2022) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
[Conformal prediction set for time-series](Conformal prediction set for time-series) by Chen Xu, Yao Xie (Georgia Tech, 2022) Code
Amazon Fortuna
Improved Online Conformal Prediction via Strongly Adaptive Online Learning by Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai (2023) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Prediction for Time Series with Modern Hopfield Networks by Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter (Johannes Kepler University, Linz, 2023) code blogpost TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Sequential Predictive Conformal Inference for Time Series by Chen Xu, Yao Xie (Georgia Tech) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Predictions for longitudinal data by Devesh Batra, Salvatore Mercuri and Raad Khraishi (Data Science & Innovation - NatWest Group, Institute of Finance and Technology, UCL, UK, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Conformal PID Control for Time Series Prediction by Anastasios N. Angelopoulos, Emmanuel J. Candes, Ryan J. Tibshirani (Berkeley/Stanford, NeurIPS2023) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes by Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb (Universidade Federal de Sao Carlos, Brazil and University of Mons, Belgium, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series by Zitong Yang, Emmanuel Candès, Lihua Lei (Stanford, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥code
Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, and Yao Xie (Georgia Tech, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized predictive simulations for univariate time series by Thierry Moudiki (2024)
Kernel-based optimally weighted conformal prediction intervals by Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Transformer Conformal Prediction for Time Series by Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal time series decomposition with component-wise exchangeability by Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans (University of Amsterdam, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference Carlos Sebastiana,Carlos E. Gonzalez-Guillenc, Jesus Juane (Fortia Energıa, Universidad Politecnica de Madrid, Instituto de Ciencias Matematicas, Madrid) code (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Split Conformal Prediction and Non-Exchangeable Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Brazil, 2024) code
ConForME: Multi-horizon conformal time series forecasting by Aloysio Galvao Lopes, Eric Goubault, Sylvie Putot, Laurent Pautet (Institut Polytechnique de Paris, LTCI, Telecom Paris, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
[Online conformal inference for multi-step time series forecasting](Online conformal inference for multi-step time series forecasting) by Xiaoqian Wang, Rob J Hyndman (Monash Universify, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 paper code conformalForecast R package
Conformal Prediction for Hierarchical Data by Guillaume Principato, Yvenn Amara-Ouali, Yannig Goudee, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stolz (EDF R&D, Laboratoire de mathe ́matiques d’Orsay, INRIA, France)
Neural Conformal Control for Time Series Forecasting by Ruipu Li, Alexander Rodrıguez (University of Michigan, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Adaptive Conformal Inference by Betting by Aleksandr Podkopaev, Darren Xu, Kuang-chih Lee (Wallmart Global Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Error-quantified Conformal Inference for Time Series by Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou (Nankai University, Tsinghua University, China, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥code
Conformalized Time Series with Semantic Features by Baiting Chen, Zhimei Ren, Lu Cheng (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized Time Series with Semantic Features](https://proceedings.neurips.cc/paper_files/paper/2024/hash/dbfb7b1443583fc7ab87e8b1b4f48c9c-Abstract-Conference.html) by Baiting Chen, Zhimei Ren, Lu Cheng (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Relational Conformal Prediction for Correlated Time Series by Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi (2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting by Qingdi Yu, Zhiwei Cao, Ruihang Wang, Zhen Yang, Lijun Deng, Min Hu, Yong Luo, Xin Zhou, (2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Split Conformal Prediction and Non-Exchangeable Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Rio de Janeiro, Brazil, 2024) code
Flow-based Conformal Prediction for Multi-dimensional Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2025) code
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model by Xiannan Huang, Shuhan Qiu (Tongji University, 2025) code
Conformal Prediction for Hierarchical Data by Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi (EDF R&D, Universit´e Paris-Saclay, CNRS, Inria, Laboratoire de math´ ematiques d’Orsay,Universit´e Paris Cit´e, France code
STACI: Spatio-Temporal Aleatoric Conformal Inference by Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, and Brian J. Reich (North Carolina State University, Brookhaven National Laboratory. 2025)
Foundation models for time series forecasting: Application in conformal prediction by Sami Achour, Yassine Bouher, Duong Nguyen, Nicolas Chesneau (Ekimetrics, Ecole Polytechnique, 2025) code
Error-quantified Conformal Inference for Time Series code ICLR 2025 paper by Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, , Changliang Zou (Nankai University, Tsinghua University)
Kernel-based Optimally Weighted Conformal Time-Series Prediction by Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2025).
Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting by Agnideep Aich, Ashit Baran Aich, Dipak C. Jain (University of Louisiana at Lafayette, Louisiana, USA; CEIBS, Shanghai, China) code
Predictive inference for time series: why is split conformal effective despite temporal dependence? by Rina Foygel Barber, Ashwin Pananjady (University of Chicago, Georgia Tech, 2025) 🔥🔥🔥🔥🔥
Relevance-Aware Thresholding in Online Conformal Prediction for Time Series by Théo Dupuy, Binbin Xu, Stéphane Perrey, Jacky Montmain, Abdelhak Imoussaten (IMT Mines Ales, 2025)
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction by Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized Time Series with Semantic Features Baiting Chen, Zhimei Ren, Lu Cheng (UCLA, University of Pennsylvania, University of Illinois Chicago, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Relevance-Aware Thresholding in Online Conformal Prediction for Time Series by Théo Dupuy, Binbin Xu, Stéphane Perrey, Jacky Montmain, Abdelhak Imoussaten (IMT Mines Ales, France) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Forecasting Melting Points in Svalbard, Norway Using Quantile Gradient Boosting and Adaptive Conformal Prediction Region by Richard Berk (University of Pennsylvania, 2025)
Conformal Prediction for Hierarchical Data by Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi (Université Paris-Saclay, EDF R&D, Inria, Laboratoire de mathématiques d’Orsay, France, 2025) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction by Echo Diyun LU, Charles Findling, Marianne Clausel, Alessandro Leite, Wei Gong, Pierric Kersaudy (University of Lorraine, Pernod Ricard, INSA Rouen Normandy, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Flow-based Conformal Prediction for Multi-dimensional Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal Prediction for Time-series Forecasting with Change Points by Sophia Sun, Rose Yu (University of California, San Diego, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Optimal training-conditional regret for online conformal prediction by Jiadong Liang, Zhimei Ren, Yuxin Chen (University of Pennsylvania, 2026) 🔥🔥🔥🔥🔥

Conformal Prediction for Anomaly Detection

Microsoft Azure Microsoft Azure Anomaly Detection powered by Conformal Prediction 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Testing Exchangeability On-Line by Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman (Royal Holloway, UK, 2023)
Plug-in martingales for testing exchangeability on-line by Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir (Vovk Royal Holloway, UK, 2012) 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformalized density- and distance-based anomaly detection in time-series data by Evgeny Burnaev, Vladislav Ishimtsev (Skoprech 2016) one of top methods in high profile Numenta Anomaly Detection competition code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
Conformal prediction for trustworthy detection of railway signals by Léo Andéol, Thomas Fel, Flornce de Grancey, Luca Mossina (Institut de Mathématiques de Toulouse, SNCF,Brown University,Thales, AVS France, IRT Saint Exupéry, Toulouse; France/USA 2024)
Detecting Railway Track Irregularities Using Conformal Prediction by Andreas Plesner, Allan P. Engsig-Karup, Hans True (ETH Zurich, Technical University of Denmark) (2024)
CoPAL: Conformal Prediction in Active Learning An Algorithm for Enhancing Remaining Useful Life Estimation in Predictive Maintenance by Zahra Kharazian, Tony Lindgren, Sindri Magnusson, Henrik Boström (Stockholm University, KTH, 2024)
Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories by Rikkard Laxhammar nd Goran Falkman (2013)
Conformal Anomaly Detection PhD dissertation by Rikkard Laxhammar (University of Skovde, 2012)

PhD Theses on Conformal Prediction

Machine Learning for Probabilistic Prediction, PhD Thesis, Valery Manokhin (Royal Holloway, UK, 2022) 🔥🔥🔥🔥🔥 (over 6K reads on Researchgate alone)
Conformal and Venn Predictors for large, imbalanced and sparse chemoinformatics data, PhD Thesis, Paolo Toccaceli (Royal Holloway, UK, 2021)
Competitive online algorithms for probabilistic prediction, PhD Thesis, Raisa Dzhamtyrova (Royal Holloway, UK, 2020)
Conformal Prediction and Testing under On-line Compression Models, PhD Thesis, Valentina Fedorova (Royal Holloway, UK, 2014) 🔥🔥🔥🔥🔥
Adaptive Online Learning, PhD Thesis, Dmitry Adamskiy (Royal Holloway, UK, 2013)
Black-box Security Measuring Black-box Information Leakage via Machine Learning, PhD Thesis, Giovanni Cherubin (Royal Holloway, UK, 2019) 🔥🔥🔥🔥🔥
Small and Large Scale Probabilistic Classifiers with Guarantees of Validity, PhD Thesis, Ivan Petej (Royal Holloway, UK, 2019) 🔥🔥🔥🔥🔥
Confidence and Venn Machines and Their Applications to Proteomics by Devetyarov, Dmitry (Royal Holloway, UK, 2019)
Conformal Anomaly Detection - detecting abnormal trajectories in surveillance applications by Rikard Laxhammar (University of Skoeve, Sweden, 2014) 🔥🔥🔥🔥🔥
Inductive Confidence Machine for Pattern Recognition - is it the next step towards AI by David Surkov (Royal Holloway, UK, 2004)
Distribution Free Prediction Intervals for Multiple Functional Regression by Ryan Kelly (University of Pittsburgh, 2020).
Probabilistic Load Forecasting with Deep Conformalized Quantile Regression by Vilde Jensen (Artcic University of Norway, 2021)
Model-free methods for multiple testing and predictive inference, PhD Thesis, Zhimei Ren (Stanford, 2021) 🔥🔥🔥🔥🔥
Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction by Deligianni Maria, MSc thesis, Universit of Uppsala (2022)
Predictive Maintenance with Conformal and Probabilistic Prediction: A Commercial Case Study by James Gammerman (2022)
Risk-Sensitive Decision-Making for Autonomous-Driving by Hardy Hasan (University of Uppsala, 2022)
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction, MSc thesis by Roel Hulsman, University of Oxford (2022)
Coreset-based Protocols for Machine Learning Classification, PhD thesis by Nery Riquelme Granada (Royal Holloway, University of London, 2022)
Conformal survival predictions at a user-controlled time point by Jelle Van Miltenburg (KTH ROYAL INSTITUTE OF TECHNOLOGY, 2018)
Reliable Machine Learning with ConformalPrediction: A Review with Contributions by Martim Sousa (2022) 🔥🔥🔥🔥🔥
Nonconformity Measures and Ensemble Strategies - An Analysis of Conformal Predictor Efficiency and Validity, PhD thesis by Henrik Linusson (Stockholm University, 2021) 🔥🔥🔥🔥🔥
Determine and explain confidence in predicting violations on inland ships in the Netherlands by Bakker, Paul (TU Delft, 2020)
Machine Learning with Conformal Prediction for Predictive Maintenance tasks in Industry 4.0 by Shuzhou Liu, Mulahuko Mpova (Jönköping University, 2023).
Benchmarking conformal prediction methods for time series regression by Derck W.E. Prinzhorn (2023) code 🔥🔥🔥🔥🔥
Conformal Prediction Methods in Finance by Finance João Vitor Romano (Instituto de Matemática Pura e Aplicada, Brazil, 2022) 🔥🔥🔥🔥🔥
An Active Learning Approach for Reject Inference in Credit Scoring using Conformal Prediction Intervals on Real and Semi-Artificial Data by Maximilian Suliga (Humboldt University of Berlin, 2023)
Confidence Predictions in Pharmaceutical Sciences by Staffan Arvidsson McShane (Uppsala University, Sweden, 2023) 🔥🔥🔥🔥🔥
Conform With the Wind Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting, MSc thesis by Simon Althoff (Lund University, 2023)
Trustworthy explanations: Improved decision support through well-calibrated uncertainty quantification, PhD thesis by Helena Löfström (Jönköping Universitu, 2023) 🔥🔥🔥🔥🔥
Data Augmentation and Conformal Prediction, MSc thesis by Helen Lu (MIT, 2023)
Conformal prediction and copula based methods for profile monitioring, MSc Thesis by Niccolo' Donadini (Politecnico di Milano, 2023)
Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries Uppsala University (2021)
A New Perspective on Uncertainty Techniques in Regression, MSc thesis by Alexander Krauck (Johannes Kepler University of Linz, 2024)
Robust Conformal Prediction Using Privileged Information by Shai Feldman, Yaniv Romano (Technion, 2024)
CONFINE: Conformal Prediction for Interpretable Neural Networks by Linhui Huang, Sayeri Lala, Niraj K. Jha (Princeton University, 2024)
Conformal prediction and beyond, MSc thesis by Gerard CASTRO CASTILLO (University of Barcelona, 2024) code
Conformal prediction and uncertainty quantification in recommender systems MSc thesis by Roberto Alvarado Chamatrin (University of Barcelona, 2024) code 🔥🔥🔥🔥
Machine learning-based anti-cancer drug treatment optimization PhD thesis by Kerstin Lenhof (Saarland University, 2024)
Towards Uncertainty-Aware Hardware Trojan Detection MSc thesis by Rahul Vishwakarma (2024)
A Diagnostic and Prescriptive Conformal Prediction Framework: Applied to Sleep Disorders MSc thesis by Faduma Khalif (MIT, 2024)
Reliable Time Series Forecasting Interval Forecasting for Time Series with Machine Learning Models and EnbPI, Independent thesis Advanced level, Wang, Xuanq (KTH,2024)
Conformal Prediction in Limit Order Books: Calibration and Uncertainty Quantification of DeepLOB by Fabio Rossi, Imperial College (2024)
On uncertainty in natural language processing by Dennis Ulmer, Uiversity of Copenhagen (2024)
Improving Uncertainty Quantification in Regression Problems through Conformal Training by Johannes Vallikivi, Cambridge (2023)
Automatic Adaptive Conformal Inference for Time Series by Artem Makhin (Skoltech, 2024).
Conformal Prediction: A Review and an Application in Deep Learning-based Image Classification by Tianyu Wang (McGill University, 2024)
Assumption-Lean Approaches to Modern Statistical Inference by Rohan Hore (University of Chicago, 2025).
Uncertainty Quantification in Predicting Kinase Inhibitor Families: A Conformal Prediction Approach on Cell Painting Data by Sofia Hernández Valenzuela (Uppsala University, 2025)
Exploring Conformal Prediction for Long Memory Processes MSc thesis by Alessandra Campanella (Sapienza University Rome, 2025)
Principles of uncertainty in probabilistic machine learning PhD Thesis by Charlie Marx (Stanford, 2025).
Uncertainty Estimation in Deep Neural Networks: A Comparative Study of Bayesian Approximation and Conformal Prediction MSc thesis by Ruijs, Sanne and Kosiakova, Alina (University of Lund, Sweden, 2025).
Conformal Prediction of Individual Treatment Effects under Unmeasured Confounding MSc thesis by Jaeho Jeong (Seoul National University, 2025).

🌍 Community, Events, and People

Conformal Prediction Events and Workshops

Applied Conformal Prediction course starts in May 2024! 🔥🔥🔥🔥🔥
Kaggle competition - probabilistic forecasting I: Temperature 🔥🔥🔥🔥🔥

Conferences Featuring Conformal Prediction

11th Symposium on Conformal and Probabilistic Prediction with Applications
IFDS Workshop on Conformal Prediction 🔥🔥🔥🔥🔥
Workshop on Distribution-Free Uncertainty Quantification at ICML 2022 🔥🔥🔥🔥🔥
Workshop on Distribution-Free Uncertainty Quantification at ICML 2021🔥🔥🔥🔥🔥
10th Symposium on Conformal and Probabilistic Prediction with Applications 🔥🔥🔥🔥🔥
9th Symposium on Conformal and Probabilistic Prediction with Applications 🔥🔥🔥🔥🔥
8th Symposium on Conformal and Probabilistic Prediction with Applications 🔥🔥🔥🔥🔥
7th Symposium on Conformal and Probabilistic Prediction with Applications 🔥🔥🔥🔥🔥
6th Symposium on Conformal and Probabilistic Prediction with Applications 🔥🔥🔥🔥🔥

Conformal Prediction Researchers

Dr. Valeriy Manokhin, PhD in Machine Learning (Royal Holloway, supervised by Prof. Vladimir Vovk); author of Practical Guide to Applied Conformal Prediction and the Applied Conformal Prediction course. ⭐
Vladimir Vovk, Royal Holloway, United Kingdom
Alexander Gammerman, Royal Holloway, United Kingdom
Glenn Shafer, Rutgers University, USA
Emmanuel Candès, Stanford, USA
Ryan Tibshiriani, Carnegie Mellon, USA
Yaniv Romano, Technion—Israel Institute of Technology
Michael I. Jordan, Berkeley, USA
Jitendra Malik, Berkeley, USA
Anastasios Angelopoulos, Berkeley, USA
Lihua Lei, Stanford, USA
Henrik Boström, KTH, Sweden
Ulf Johansson, Jönköping University, Sweden
Henrik Linusson, University of Borås, Sweden
Harris Papadopoulos, Frederick University, Cyprus
Vladimir V'yugin, Institute for Information Transmission Problems (IITP), Russia
Evgeny Burnaev, Skoltech, Russia
Aaditya Ramdas, Carnegie Mellon, USA
Benjamin LeRoy, Carnegie Mellon, USA
Ulf Norinder, Stockholm University, Sweden
Ola Spjuth, Uppsala University, Sweden
Ilia Nouretdinov, Royal Holloway, United Kingdom
Yao Xie, Georgia Institute of Technology
Zhimeo Ren, University of Chicago
Rafael Izbicki, Federal University of São Carlos (UFSCar) Brazil
Rina Foygel Barber University of Chicago
Simone Vantini MOX - Department of Mathematics, Politecnico di Milano

Conformal Prediction Websites

valeriy.ai — Dr. Valeriy Manokhin's website — book, course, papers, and research on applied conformal prediction 🔥🔥🔥🔥🔥
Main website with research from Prof. Vladimir (Volodya) Vovk 🔥🔥🔥🔥🔥
Conformal Prediction - Prediction with guaranteed performance Royal Holloway, United Kingdom
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos 🔥🔥🔥🔥🔥
Reliable Predictive Inference by Yaniv Romano 🔥🔥🔥🔥🔥

Conformal Prediction on Twitter / X

Title: What Can Conformal Inference Offer to Statistics? by Lihua Lei, Stanford, 2022
Conformalized survival analysis by Lihua Lei, Stanford, 2021
Conformal Risk Control by Anastasious Angelopolous, Berkeley, 2022
Stable Conformal Prediction Sets by Eugene Ndiaye (Georgia Tech, 2022)
Machine learning sucks at uncertainty quantification. But there is a solution that almost sounds too good to be true: conformal prediction by Cristoph Molnar (2022).
How to correctly, yet efficiently model the uncertainty on predictions by Nico Wolf (2022)
Top 10 Github libraries for Conformal Prediction by Valeriy Manokhin (2022)
Robots That Ask For Help by Allen Z. Ren (2023) 🍾🍾🍾🍾🍾🔥🔥🔥🔥🔥

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LICENSE		LICENSE
LICENSE_RATIONALE.md		LICENSE_RATIONALE.md
README.md		README.md

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Conformal Prediction: The Definitive Resource

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📚 Research: Papers and Theses

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Conformal Prediction for Time Series Forecasting

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PhD Theses on Conformal Prediction

🌍 Community, Events, and People

Conformal Prediction Events and Workshops

Conferences Featuring Conformal Prediction

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Conformal Prediction Websites

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