Generalization analysis of an unfolding network for analysis-based Compressed Sensing

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Generalization analysis of an unfolding network for analysis-based Compressed Sensing

9 March 2023

Yannis Panagakis

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Papers citing "Generalization analysis of an unfolding network for analysis-based Compressed Sensing"

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Title
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 109 196 0 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 $\ell_1$-$\ell_1$ Minimization: Architecture Design and Generalization Analysis$ Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $\ell_1$ - $\ell_1$ 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