Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks:
Theory, Methods, and Algorithms

Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms

18 March 2021

Marcelo Pereyra

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Papers citing "Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms"

16 / 16 papers shown

Title
Hypothesis Testing in Imaging Inverse Problems Yiming Xi K. Zygalakis Marcelo Pereyra 55 0 0 28 May 2025
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 140 11 0 10 Sep 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods Remi Laumont Yiqiu Dong Martin Skovgaard Andersen 50 1 0 24 Jun 2024
Do Bayesian imaging methods report trustworthy probabilities? David Y. W. Thong Charlesquin Kemajou Mbakam Marcelo Pereyra UQCV 82 3 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 95 1 0 08 Apr 2024
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling Elhadji C. Faye Mame Diarra Fall N. Dobigeon 81 4 0 19 Feb 2024
Learned reconstruction methods for inverse problems: sample error estimates Luca Ratti 60 0 0 21 Dec 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 62 2 0 29 Nov 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 71 8 0 18 Oct 2023
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration Guixian Xu Huihui Wang Qingping Zhou 68 3 0 16 Apr 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 103 6 0 20 Mar 2023
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 87 51 0 11 Jun 2022
Efficient Bayesian computation for low-photon imaging problems Savvas Melidonis P. Dobson Y. Altmann Marcelo Pereyra K. Zygalakis 44 12 0 10 Jun 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 92 11 0 18 Mar 2022
Generative models and Bayesian inversion using Laplace approximation M. Marschall G. Wübbeler F. Schmähling Clemens Elster 59 1 0 15 Mar 2022
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography Zhen Guo J. Song George Barbastathis M. Glinsky C. Vaughan K. Larson B. Alpert Z. Levine 54 1 0 15 Nov 2021