Equivariant Bootstrapping for Uncertainty Quantification in Imaging
Inverse Problems

Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems

18 October 2023

Julian Tachella

Marcelo Pereyra

Papers citing "Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems"

6 / 6 papers shown

Title
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems Bernardin Tamo Amougou Marcelo Pereyra Barbara Pascal 54 0 0 26 Feb 2025
Do Bayesian imaging methods report trustworthy probabilities? David Y. W. Thong Charlesquin Kemajou Mbakam Marcelo Pereyra UQCV 42 2 0 13 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 73 1 0 08 Apr 2024
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 27 1 0 29 Nov 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu Kaicheng Zhang Christos Sakaridis Jingyun Liang B. Wen Radu Timofte Luc Van Gool DiffM 69 200 0 15 May 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 220 787 0 27 Jan 2022