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A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems

A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems

20 June 2020
Junqi Tang
Mike Davies
ArXivPDFHTML

Papers citing "A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems"

7 / 7 papers shown
Title
Deep Model-Based Architectures for Inverse Problems under Mismatched
  Priors
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
Shirin Shoushtari
Jiaming Liu
Yuyang Hu
Ulugbek S. Kamilov
26
6
0
26 Jul 2022
Operator Sketching for Deep Unrolling Networks
Operator Sketching for Deep Unrolling Networks
Junqi Tang
Subhadip Mukherjee
Carola-Bibiane Schönlieb
24
0
0
21 Mar 2022
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched
  Gradients
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
Junqi Tang
24
2
0
14 Mar 2022
Data-Consistent Local Superresolution for Medical Imaging
Data-Consistent Local Superresolution for Medical Imaging
Junqi Tang
SupR
30
0
0
22 Feb 2022
Stochastic Primal-Dual Deep Unrolling
Stochastic Primal-Dual Deep Unrolling
Junqi Tang
Subhadip Mukherjee
Carola-Bibiane Schönlieb
24
4
0
19 Oct 2021
Randomized Algorithms for Scientific Computing (RASC)
Randomized Algorithms for Scientific Computing (RASC)
A. Buluç
T. Kolda
Stefan M. Wild
M. Anitescu
Anthony Degennaro
...
D. Vrabie
B. Wohlberg
Stephen J. Wright
Chao Yang
Peter Zwart
AI4CE
43
10
0
19 Apr 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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