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Generalization analysis of an unfolding network for analysis-based Compressed Sensing
9 March 2023
Vicky Kouni
Yannis Panagakis
MLT
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Papers citing
"Generalization analysis of an unfolding network for analysis-based Compressed Sensing"
19 / 19 papers shown
Title
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
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Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
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29 Jun 2022
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou
Qian Wang
Jian Zhang
109
196
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28 Apr 2022
Memory-augmented Deep Unfolding Network for Guided Image Super-resolution
Man Zhou
Keyu Yan
Jin-shan Pan
Wenqi Ren
Qiaokang Xie
Xiangyong Cao
GAN
SupR
74
65
0
12 Feb 2022
ADMM-DAD net: a deep unfolding network for analysis compressed sensing
Vicky Kouni
Georgios Paraskevopoulos
Holger Rauhut
G. C. Alexandropoulos
107
19
0
13 Oct 2021
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data
J. Ramírez
J. I. M. Torre
Henry Arguello
90
26
0
01 Mar 2021
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
Arash Behboodi
Holger Rauhut
Ekkehard Schnoor
103
19
0
29 Oct 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Qiyu Hu
Yunlong Cai
Qingjiang Shi
Kaidi Xu
Guanding Yu
Z. Ding
48
175
0
15 Jun 2020
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted
ℓ
1
\ell_1
ℓ
1
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ℓ
1
\ell_1
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1
Minimization: Architecture Design and Generalization Analysis
Huynh Van Luong
Boris Joukovsky
Nikos Deligiannis
44
4
0
18 Mar 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
130
1,027
0
22 Dec 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
Zhaoqiang Liu
Jonathan Scarlett
110
41
0
28 Aug 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao
Quanquan Gu
MLT
AI4CE
131
392
0
30 May 2019
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
Shaojie Xu
Sihan Zeng
Justin Romberg
GAN
DiffM
85
16
0
19 Feb 2019
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLT
AI4CE
168
643
0
14 Feb 2018
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
350
1,225
0
26 Jun 2017
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
103
261
0
01 May 2016
Dictionary Learning for Blind One Bit Compressed Sensing
H. Zayyani
Mehdi Korki
F. Marvasti
48
43
0
30 Aug 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
532
18,688
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,661
0
22 Dec 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
J. Hershey
Jonathan Le Roux
F. Weninger
BDL
229
433
0
09 Sep 2014
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