Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

29 August 2018

Papers citing "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds"

10 / 10 papers shown

Title
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu Ruida Zhou Cong Shen Jing Yang 80 0 0 17 Oct 2024
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 48 285 0 21 Apr 2017
Understanding Trainable Sparse Coding via Matrix Factorization Thomas Moreau Joan Bruna 35 44 0 01 Sep 2016
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 53 92 0 20 Jul 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems Raja Giryes Yonina C. Eldar A. Bronstein Guillermo Sapiro 47 85 0 30 May 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 52 167 0 05 May 2016
$Learning A Deep $\ell_\infty$ Encoder for Hashing$ Learning A Deep $\ell_\infty$ Encoder for Hashing Zhangyang Wang Yingzhen Yang Shiyu Chang Qing Ling Thomas S. Huang 47 9 0 06 Apr 2016
Learning A Task-Specific Deep Architecture For Clustering Zhangyang Wang Shiyu Chang Jiayu Zhou Meng Wang Thomas S. Huang 36 81 0 01 Sep 2015
Learning efficient sparse and low rank models Pablo Sprechmann A. Bronstein Guillermo Sapiro 148 192 0 14 Dec 2012
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem Lin Xiao Tong Zhang 59 146 0 14 Mar 2012