Convolutional Analysis Operator Learning: Acceleration and Convergence

Convolutional Analysis Operator Learning: Acceleration and Convergence

15 February 2018

Il Yong Chun

Jeffrey A. Fessler

Papers citing "Convolutional Analysis Operator Learning: Acceleration and Convergence"

8 / 8 papers shown

Title
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Zhang 27 55 0 19 Jul 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 21 1 0 04 Mar 2022
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 40 19 0 10 Jan 2021
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 21 13 0 28 Jun 2020
Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries Jun-Jie Huang Pier Luigi Dragotti 28 1 0 31 Jan 2020
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 19 81 0 26 Jul 2019
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 59 284 0 27 Jul 2016
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling Mehrdad Yaghoobi Sangnam Nam Remi Gribonval Mike E. Davies 41 100 0 18 May 2012