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

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"

13 / 13 papers shown

Title
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 56 2 0 09 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering K. K. Bernhard Schölkopf Michael Muehlebach 24 0 0 02 Oct 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 23 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 28 21 0 10 Oct 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 177 161 0 28 Dec 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 130 399 0 04 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,098 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 215 1,277 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 95 125 0 03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 176 184 0 07 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Cross-conformal predictors V. Vovk 110 194 0 03 Aug 2012