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Solving inverse problems with deep neural networks driven by sparse
  signal decomposition in a physics-based dictionary

Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

16 July 2021
Gaëtan Rensonnet
Louise Adam
Benoit Macq
    MedIm
ArXivPDFHTML

Papers citing "Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary"

3 / 3 papers shown
Title
Learning the optimal Tikhonov regularizer for inverse problems
Learning the optimal Tikhonov regularizer for inverse problems
Giovanni S. Alberti
E. De Vito
Matti Lassas
Luca Ratti
Matteo Santacesaria
13
30
0
11 Jun 2021
Deep Learning Methods for Solving Linear Inverse Problems: Research
  Directions and Paradigms
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
Yanna Bai
Wei-Neng Chen
Jie Chen
Weisi Guo
24
64
0
27 Jul 2020
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,597
0
03 Jul 2012
1