Scalable Plug-and-Play ADMM with Convergence Guarantees

Scalable Plug-and-Play ADMM with Convergence Guarantees

5 June 2020

Ulugbek S. Kamilov

Papers citing "Scalable Plug-and-Play ADMM with Convergence Guarantees"

17 / 17 papers shown

Title
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 74 5 0 21 Feb 2025
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 23 3 0 19 Aug 2024
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems Jason Hu Bowen Song Xiaojian Xu Liyue Shen Jeffrey A. Fessler MedIm DiffM 46 8 0 04 Jun 2024
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers Chicago Park S. Shoushtari Weijie Gan Ulugbek S. Kamilov 8 0 0 30 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems Samuel Hurault Ulugbek Kamilov Arthur Leclaire Nicolas Papadakis 16 10 0 06 Jun 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 20 11 0 22 May 2023
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 26 6 0 26 Jul 2022
Operator Sketching for Deep Unrolling Networks Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 18 0 0 21 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients Junqi Tang 16 2 0 14 Mar 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 22 25 0 16 Jan 2022
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution Yunshi Huang Émilie Chouzenoux J. Pesquet BDL 11 12 0 14 Oct 2021
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 27 93 0 07 Oct 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 38 225 0 23 Mar 2021
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers Mariana S. C. Almeida Mário A. T. Figueiredo 47 159 0 09 Oct 2012