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Proximal Residual Flows for Bayesian Inverse Problems

Proximal Residual Flows for Bayesian Inverse Problems

30 November 2022
J. Hertrich
    BDL
    TPM
ArXivPDFHTML

Papers citing "Proximal Residual Flows for Bayesian Inverse Problems"

5 / 5 papers shown
Title
Invertible ResNets for Inverse Imaging Problems: Competitive Performance
  with Provable Regularization Properties
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties
Clemens Arndt
Judith Nickel
31
0
0
20 Sep 2024
Importance Corrected Neural JKO Sampling
Importance Corrected Neural JKO Sampling
Johannes Hertrich
Robert Gruhlke
26
1
0
29 Jul 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Paul Hagemann
J. Hertrich
Maren Casfor
Sebastian Heidenreich
Gabriele Steidl
14
0
0
05 Feb 2024
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Giovanni S. Alberti
J. Hertrich
Matteo Santacesaria
Silvia Sciutto
DRL
23
6
0
27 Mar 2023
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
112
95
0
10 Dec 2020
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