Momentum-Net: Fast and convergent iterative neural network for inverse
problems

Momentum-Net: Fast and convergent iterative neural network for inverse problems

26 July 2019

Il Yong Chun

Jeffrey A. Fessler

Papers citing "Momentum-Net: Fast and convergent iterative neural network for inverse problems"

11 / 11 papers shown

Title
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction Wenjun Xia W. Cong Ge Wang DiffM MedIm 20 23 0 18 Nov 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 20 4 0 29 Sep 2022
Unrolled algorithms for group synchronization N. Janco Tamir Bendory 20 3 0 19 Jul 2022
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Andrew Zhang 19 54 0 19 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 40 8 0 28 Jun 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 19 1 0 04 Mar 2022
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 38 180 0 16 Feb 2021
Momentum Residual Neural Networks Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 24 56 0 15 Feb 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 21 101 0 09 Nov 2020
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 56 214 0 06 Jun 2018