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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
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
ArXivPDFHTML

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

12 / 12 papers shown
Title
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
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
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
Unrolled algorithms for group synchronization
N. Janco
Tamir Bendory
20
3
0
19 Jul 2022
Content-aware Scalable Deep Compressed Sensing
Content-aware Scalable Deep Compressed Sensing
Bin Chen
Jian Andrew Zhang
21
54
0
19 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
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
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
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised
  and Adversarial Learning from Scarce Training Data
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
Anish Lahiri
M. Klasky
Jeffrey A. Fessler
S. Ravishankar
12
24
0
23 Jan 2022
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
38
180
0
16 Feb 2021
Momentum Residual Neural Networks
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?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
24
101
0
09 Nov 2020
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
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