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2006.03224
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Scalable Plug-and-Play ADMM with Convergence Guarantees
5 June 2020
Yu Sun
Zihui Wu
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
BDL
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Papers citing
"Scalable Plug-and-Play ADMM with Convergence Guarantees"
45 / 45 papers shown
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MAP Estimation with Denoisers: Convergence Rates and Guarantees
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Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent
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Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
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227
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Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers
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Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
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Ferdia Sherry
Carola-Bibiane Schönlieb
288
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07 Mar 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
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Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
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MedIm
371
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0
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Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems
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Bowen Song
Jeffrey A. Fessler
Liyue Shen
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287
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Distributed Tomographic Reconstruction with Quantization
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Selin Aslan
Erdem Koyuncu
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161
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Parseval Convolution Operators and Neural Networks
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Stanislas Ducotterd
255
4
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Learning Firmly Nonexpansive Operators
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Jonathan Chirinos-Rodriguez
E. Naldi
303
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Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
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Bowen Song
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
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22
0
04 Jun 2024
Local monotone operator learning using non-monotone operators: MnM-MOL
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023
Maneesh John
Jyothi Rikabh Chand
Mathews Jacob
344
4
0
01 Dec 2023
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023
Chicago Y. Park
Shirin Shoushtari
Weijie Gan
Ulugbek S. Kamilov
369
2
0
30 Nov 2023
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter
Journal of Mathematical Imaging and Vision (JMIV), 2023
Samuel Hurault
A. Chambolle
Arthur Leclaire
Nicolas Papadakis
277
13
0
02 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems
International Conference on Learning Representations (ICLR), 2023
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
480
26
0
22 Oct 2023
Provable Probabilistic Imaging using Score-Based Generative Priors
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023
Yu Sun
Zihui Wu
Yifan Chen
Berthy Feng
Katherine Bouman
DiffM
457
51
0
16 Oct 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
International Conference on Machine Learning (ICML), 2023
Shirin Shoushtari
Jiaming Liu
Edward P. Chandler
M. Salman Asif
Ulugbek S. Kamilov
212
9
0
29 Sep 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Neural Information Processing Systems (NeurIPS), 2023
Samuel Hurault
Ulugbek Kamilov
Arthur Leclaire
Nicolas Papadakis
253
24
0
06 Jun 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Neural Information Processing Systems (NeurIPS), 2023
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
311
16
0
22 May 2023
Provably Convergent Plug-and-Play Quasi-Newton Methods
SIAM Journal of Imaging Sciences (JSIS), 2023
Hongwei Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
436
29
0
09 Mar 2023
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
Scale Space and Variational Methods in Computer Vision (SSVM), 2023
Samuel Hurault
A. Chambolle
Arthur Leclaire
Nicolas Papadakis
264
18
0
31 Jan 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
SIAM Journal of Imaging Sciences (JSIS), 2023
Michael Elad
Bahjat Kawar
Gregory Vaksman
322
141
0
09 Jan 2023
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
Journal of machine learning research (JMLR), 2022
Stanislas Ducotterd
Alexis Goujon
Pakshal Bohra
Dimitris Perdios
Sebastian Neumayer
M. Unser
319
26
0
28 Oct 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Shirin Shoushtari
Jiaming Liu
Yuyang Hu
Ulugbek S. Kamilov
278
8
0
26 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
421
48
0
29 Jun 2022
Memory-efficient model-based deep learning with convergence and robustness guarantees
IEEE Transactions on Computational Imaging (TCI), 2022
Aniket Pramanik
M. Zimmerman
M. Jacob
3DV
366
19
0
06 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising
Neural Information Processing Systems (NeurIPS), 2022
Jiaming Liu
Xiaojian Xu
Weijie Gan
Shirin Shoushtari
Ulugbek S. Kamilov
324
33
0
25 May 2022
Operator Sketching for Deep Unrolling Networks
Junqi Tang
Subhadip Mukherjee
Carola-Bibiane Schönlieb
291
0
0
21 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
IEEE Transactions on Computational Imaging (TCI), 2022
Pakshal Bohra
Thanh-an Michel Pham
Jonathan Dong
M. Unser
MedIm
324
16
0
18 Mar 2022
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
Junqi Tang
221
2
0
14 Mar 2022
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Qifan Xu
Q. Lyu
Dan Ruan
K. Sheng
172
1
0
15 Feb 2022
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Ketan Fatania
Carolin M. Pirkl
Marion I. Menzel
Peter Hall
Mohammad Golbabaee
213
9
0
10 Feb 2022
Bregman Plug-and-Play Priors
International Conference on Information Photonics (ICIP), 2022
Abdullah H. Al-Shabili
Xiaojian Xu
I. Selesnick
Ulugbek S. Kamilov
218
7
0
04 Feb 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
International Conference on Machine Learning (ICML), 2022
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
525
119
0
31 Jan 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
Journal of Mathematical Imaging and Vision (JMIV), 2022
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
298
28
0
16 Jan 2022
Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
Nature Machine Intelligence (NMI), 2021
Renhao Liu
Yu Sun
Jiabei Zhu
Lei Tian
Ulugbek Kamilov
363
109
0
27 Nov 2021
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
Yunshi Huang
Émilie Chouzenoux
J. Pesquet
BDL
206
15
0
14 Oct 2021
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault
Arthur Leclaire
Nicolas Papadakis
401
152
0
07 Oct 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
Neural Information Processing Systems (NeurIPS), 2021
Jiaming Liu
M. Salman Asif
B. Wohlberg
Ulugbek S. Kamilov
326
50
0
07 Jun 2021
Learning to Optimize: A Primer and A Benchmark
Journal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
707
319
0
23 Mar 2021
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
Journal of machine learning research (JMLR), 2020
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
320
39
0
18 Nov 2020
Task-Oriented Convex Bilevel Optimization with Latent Feasibility
IEEE Transactions on Image Processing (TIP), 2019
Risheng Liu
Long Ma
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
302
13
0
06 Jul 2019
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