How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control

7 February 2023

Papers citing "How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control"

29 / 29 papers shown

Title
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Jeffrey Wen Rizwan Ahmad Philip Schniter 26 0 0 14 May 2025
Conditional Conformal Risk Adaptation Rui Luo Zhixin Zhou MedIm 24 0 0 10 Apr 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 49 0 0 28 Feb 2025
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography Jacopo Teneggi J. W. Stayman Jeremias Sulam 56 1 0 28 Feb 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew Bendel Rizwan Ahmad P. Schniter MedIm DiffM 28 1 0 01 Nov 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 85 3 0 09 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering K. K. Bernhard Schölkopf Michael Muehlebach 30 0 0 02 Oct 2024
Single Trajectory Conformal Prediction Brian Lee Nikolai Matni 38 2 0 03 Jun 2024
Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec Alexander Timans Tin Hadvzi Veljković K. Sakmann Dan Zhang C. A. Naesseth Eric T. Nalisnick 38 5 0 31 May 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction Jeffrey Wen Rizwan Ahmad Philip Schniter 39 2 0 28 May 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction Drew T. Nguyen Reese Pathak Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan 37 1 0 28 Mar 2024
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction Geethen Singh Glenn Moncrieff Zander Venter Kerry Cawse-Nicholson Jasper Slingsby Tamara B. Robinson 26 13 0 12 Jan 2024
How Good Are Deep Generative Models for Solving Inverse Problems? Shichong Peng Alireza Moazeni Ke Li DiffM 16 0 0 20 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 35 18 0 19 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 39 21 0 10 Oct 2023
Non-Exchangeable Conformal Risk Control António Farinhas Chrysoula Zerva Dennis Ulmer André F. T. Martins 16 9 0 02 Oct 2023
Conformal Language Modeling Victor Quach Adam Fisch Tal Schuster Adam Yala J. Sohn Tommi Jaakkola Regina Barzilay 77 55 0 16 Jun 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems Omer Belhasin Yaniv Romano Daniel Freedman Ehud Rivlin Michael Elad 33 22 0 17 May 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models Jiale Xu Xintao Wang Weihao Cheng Yan-Pei Cao Ying Shan Xiaohu Qie Shenghua Gao 188 161 0 28 Dec 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 139 410 0 04 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,143 0 10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 97 125 0 03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 181 185 0 07 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Cross-conformal predictors V. Vovk 131 196 0 03 Aug 2012