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When to Use Convolutional Neural Networks for Inverse Problems

When to Use Convolutional Neural Networks for Inverse Problems

30 March 2020
Nathaniel Chodosh
Simon Lucey
ArXivPDFHTML

Papers citing "When to Use Convolutional Neural Networks for Inverse Problems"

4 / 4 papers shown
Title
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for
  sparse recover
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu
Chao Zhou
Yonina C. Eldar
M. Rodrigues
OOD
13
1
0
20 Oct 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit
Architectural Adversarial Robustness: The Case for Deep Pursuit
George Cazenavette
Calvin Murdock
Simon Lucey
AAML
34
23
0
29 Nov 2020
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Tianlin Liu
Anadi Chaman
David Belius
Ivan Dokmanić
25
27
0
25 Nov 2020
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
1