Compressive Sensing and Neural Networks from a Statistical Learning Perspective

29 October 2020

Papers citing "Compressive Sensing and Neural Networks from a Statistical Learning Perspective"

6 / 6 papers shown

Title
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms Sina Mohammad-Taheri Matthew J. Colbrook Simone Brugiapaglia 12 0 0 21 May 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 60 0 0 28 Jan 2025
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 28 0 0 09 Mar 2023
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks Ekkehard Schnoor Arash Behboodi Holger Rauhut 24 13 0 08 Dec 2021
ADMM-DAD net: a deep unfolding network for analysis compressed sensing Vicky Kouni Georgios Paraskevopoulos Holger Rauhut G. C. Alexandropoulos 37 18 0 13 Oct 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 191 83 0 15 Feb 2021