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Understanding the Learned Iterative Soft Thresholding Algorithm with
  matrix factorization

Understanding the Learned Iterative Soft Thresholding Algorithm with matrix factorization

2 June 2017
Thomas Moreau
Joan Bruna
ArXiv (abs)PDFHTML

Papers citing "Understanding the Learned Iterative Soft Thresholding Algorithm with matrix factorization"

6 / 6 papers shown
Title
Momentum Transformer: Closing the Performance Gap Between Self-attention
  and Its Linearization
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
T. Nguyen
Richard G. Baraniuk
Robert M. Kirby
Stanley J. Osher
Bao Wang
127
9
0
01 Aug 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Wenqing Zheng
Tianlong Chen
Ting-Kuei Hu
Zhangyang Wang
141
19
0
13 Mar 2022
Learning to Learn Graph Topologies
Learning to Learn Graph Topologies
Xingyue Pu
Tianyue Cao
Xiaoyun Zhang
Xiaowen Dong
Siheng Chen
88
41
0
19 Oct 2021
Heavy Ball Neural Ordinary Differential Equations
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia
Vai Suliafu
H. Ji
T. Nguyen
Andrea L. Bertozzi
Stanley J. Osher
Bao Wang
94
61
0
10 Oct 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
266
237
0
23 Mar 2021
DYAN: A Dynamical Atoms-Based Network for Video Prediction
DYAN: A Dynamical Atoms-Based Network for Video Prediction
Wenqian Liu
Abhishek Sharma
Mario Sznaier
Octavia Camps
55
36
0
20 Mar 2018
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