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On Maximum-a-Posteriori estimation with Plug & Play priors and
  stochastic gradient descent

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent

16 January 2022
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
ArXivPDFHTML

Papers citing "On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent"

15 / 15 papers shown
Title
Plug-and-Play Algorithm Convergence Analysis From The Standpoint of
  Stochastic Differential Equation
Plug-and-Play Algorithm Convergence Analysis From The Standpoint of Stochastic Differential Equation
Zhongqi Wang
Bingnan Wang
Maosheng Xiang
19
0
0
22 Apr 2024
Learning pseudo-contractive denoisers for inverse problems
Learning pseudo-contractive denoisers for inverse problems
Deliang Wei
Peng Chen
Fang Li
22
4
0
08 Feb 2024
Provable Probabilistic Imaging using Score-Based Generative Priors
Provable Probabilistic Imaging using Score-Based Generative Priors
Yu Sun
Zihui Wu
Yifan Chen
Berthy T. Feng
Katherine L. Bouman
DiffM
22
26
0
16 Oct 2023
Thin On-Sensor Nanophotonic Array Cameras
Thin On-Sensor Nanophotonic Array Cameras
Praneeth Chakravarthula
Ji-ping Sun
Xiao Li
Chenyang Lei
Gene Chou
Mario Bijelic
Johannes Froesch
A. Majumdar
Felix Heide
24
19
0
05 Aug 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo
  Algorithms
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
Tim Tsz-Kit Lau
Han Liu
T. Pock
39
4
0
25 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin
  Diffusion
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion
Nicolas Zilberstein
A. Sabharwal
Santiago Segarra
DiffM
39
7
0
08 May 2023
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring
  Spatially Varying Kernels
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels
Charles Laroche
Andrés Almansa
Eva Coupeté
Matias Tassano
25
2
0
19 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior
Video Restoration with a Deep Plug-and-Play Prior
Antoine Monod
J. Delon
Matias Tassano
Andrés Almansa
25
1
0
06 Sep 2022
Learned reconstruction methods with convergence guarantees
Learned reconstruction methods with convergence guarantees
Subhadip Mukherjee
A. Hauptmann
Ozan Oktem
Marcelo Pereyra
Carola-Bibiane Schönlieb
22
49
0
11 Jun 2022
Deep Model-Based Super-Resolution with Non-uniform Blur
Deep Model-Based Super-Resolution with Non-uniform Blur
Charles Laroche
Andrés Almansa
Matias Tassano
SupR
26
11
0
21 Apr 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with
  Nonconvex Regularization
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
49
72
0
31 Jan 2022
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair
Ruturaj G. Gavaskar
K. Chaudhury
43
37
0
21 Apr 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
24
109
0
08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with
  Autoencoding Prior
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
Mario González
Andrés Almansa
Pauline Tan
37
30
0
02 Mar 2021
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
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