Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference-Reference-Cited by-同舟云学术

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Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference

Published:2024 Issue: Volume:33 Page:3496-3507
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Coeurdoux Florentin¹^ORCID,Dobigeon Nicolas¹^ORCID,Chainais Pierre²^ORCID

Affiliation:

1. IRIT/INP-ENSEEIHT, CNRS, University of Toulouse, Toulouse, France

2. CNRS, Centrale Lille, UMR 9189, Centre de Recherche en Informatique Signal et Automatique de Lille (CRIStAL), Université de Lille, Lille, France

Funder

Artificial Natural Intelligence Toulouse Institute

AI Sherlock Chair

ULNE National Future Investment Program

Région Hauts-de-France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10541919.pdf?arnumber=10541919

Reference50 articles.

1. Statistical and Computational Inverse Problems

2. The Convex Geometry of Linear Inverse Problems

3. Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization

4. An Algorithm for Total Variation Minimization and Applications

5. Posterior Expectation of the Total Variation Model: Properties and Experiments

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