Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging

10 February 2022

Anastasios Nikolas Angelopoulos

Papers citing "Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging"

23 / 73 papers shown

Title
Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar Haiquan Wang Caiming Xiong Yu Bai AI4TS 35 47 0 15 Feb 2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning Gianluca Detommaso Alberto Gasparin Michele Donini Matthias Seeger A. Wilson Cédric Archambeau UQCV BDL 41 14 0 08 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 40 28 0 07 Feb 2023
Conformal Loss-Controlling Prediction Di Wang Pingping Wang Zhong Ji Xiaojun Yang Hongyue Li 39 1 0 06 Jan 2023
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Dominik Narnhofer Andreas Habring M. Holler Thomas Pock 25 14 0 23 Dec 2022
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems Gilad Kutiel Regev Cohen Michael Elad Daniel Freedman UQCV 39 5 0 28 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models Eliahu Horwitz Yedid Hoshen DiffM 29 28 0 17 Nov 2022
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 34 26 0 01 Oct 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 45 10 0 08 Sep 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers Zi-Chen Liang Matteo Sesia Wenguang Sun OODD 33 20 0 23 Aug 2022
Conformal Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Adam Fisch Lihua Lei Tal Schuster 45 127 0 04 Aug 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 48 21 0 20 Jul 2022
Confident Adaptive Language Modeling Tal Schuster Adam Fisch Jai Gupta Mostafa Dehghani Dara Bahri Vinh Q. Tran Yi Tay Donald Metzler 55 162 0 14 Jul 2022
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets Charles Lu Anastasios Nikolas Angelopoulos S. Pomerantz 11 30 0 05 Jul 2022
Conformal Prediction with Temporal Quantile Adjustments Zhen Lin Shubhendu Trivedi Jimeng Sun AI4TS 64 18 0 20 May 2022
Achieving Risk Control in Online Learning Settings Shai Feldman Liran Ringel Stephen Bates Yaniv Romano 80 28 0 18 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 34 49 0 12 May 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 102 125 0 03 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 49 586 0 15 Jul 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 195 187 0 07 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,494 0 21 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015