Deep Learning Methods for Solving Linear Inverse Problems: Research
Directions and Paradigms

Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms

27 July 2020

Jie Chen

Papers citing "Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms"

5 / 5 papers shown

Title
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 26 0 0 19 Aug 2024
Transformers are Provably Optimal In-context Estimators for Wireless Communications Vishnu Teja Kunde Vicram Rajagopalan Chandra Shekhara Kaushik Valmeekam Krishna R. Narayanan S. Shakkottai D. Kalathil J. Chamberland 29 4 0 01 Nov 2023
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study Xu Zhan Xiaoling Zhang Wensi Zhang Jun Shi Shunjun Wei Tianjiao Zeng 36 1 0 28 Nov 2022
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary Gaëtan Rensonnet Louise Adam Benoit Macq MedIm 17 6 0 16 Jul 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 183 5,138 0 16 Sep 2016