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

Benoit Macq

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

4 / 4 papers shown

Title
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti E. De Vito Matti Lassas Luca Ratti Matteo Santacesaria 22 30 0 11 Jun 2021
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms Yanna Bai Wei-Neng Chen Jie Chen Weisi Guo 31 66 0 27 Jul 2020
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 28 37 0 01 Aug 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012