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Hyperparameter Tuning is All You Need for LISTA

Hyperparameter Tuning is All You Need for LISTA

29 October 2021
Xiaohan Chen
Jialin Liu
Zhangyang Wang
W. Yin
    ODL
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Papers citing "Hyperparameter Tuning is All You Need for LISTA"

15 / 15 papers shown
Title
Learned Robust PCA: A Scalable Deep Unfolding Approach for
  High-Dimensional Outlier Detection
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
HanQin Cai
Jialin Liu
W. Yin
85
42
0
11 Oct 2021
A Design Space Study for LISTA and Beyond
A Design Space Study for LISTA and Beyond
Tianjian Meng
Xiaohan Chen
Yi Ding
Zhangyang Wang
49
3
0
08 Apr 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
238
234
0
23 Mar 2021
Neurally Augmented ALISTA
Neurally Augmented ALISTA
Freya Behrens
Jonathan Sauder
P. Jung
56
15
0
05 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
81
533
0
12 May 2020
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Aviad Aberdam
Alona Golts
Michael Elad
49
40
0
23 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
100
1,021
0
22 Dec 2019
Learning step sizes for unfolded sparse coding
Learning step sizes for unfolded sparse coding
Pierre Ablin
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
MQ
76
53
0
27 May 2019
Theoretical Linear Convergence of Unfolded ISTA and its Practical
  Weights and Thresholds
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
Xiaohan Chen
Jialin Liu
Zhangyang Wang
W. Yin
67
234
0
29 Aug 2018
LSALSA: Accelerated Source Separation via Learned Sparse Coding
LSALSA: Accelerated Source Separation via Learned Sparse Coding
Benjamin Cowen
Apoorva Nandini Saridena
A. Choromańska
34
11
0
13 Feb 2018
Understanding Trainable Sparse Coding via Matrix Factorization
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau
Joan Bruna
35
45
0
01 Sep 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
50
85
0
30 May 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
70
167
0
05 May 2016
Optimized Projections for Compressed Sensing via Direct Mutual Coherence
  Minimization
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
Canyi Lu
Huan Li
Zhouchen Lin
30
61
0
13 Aug 2015
A fast patch-dictionary method for whole image recovery
A fast patch-dictionary method for whole image recovery
Yangyang Xu
W. Yin
46
63
0
16 Aug 2014
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