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A Deep Learning Approach to Structured Signal Recovery

A Deep Learning Approach to Structured Signal Recovery

17 August 2015
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
ArXiv (abs)PDFHTML

Papers citing "A Deep Learning Approach to Structured Signal Recovery"

50 / 108 papers shown
Title
LSHR-Net: a hardware-friendly solution for high-resolution computational
  imaging using a mixed-weights neural network
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Fangliang Bai
Jinchao Liu
Xiaojuan Liu
Margarita Osadchy
Chao Wang
S. Gibson
100
2
0
27 Apr 2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang
Yipeng Liu
Jiani Liu
Fei Wen
Ce Zhu
69
216
0
21 Apr 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 ℓ1\ell_1ℓ1​-ℓ1\ell_1ℓ1​ Minimization: Architecture Design and Generalization Analysis
Huynh Van Luong
Boris Joukovsky
Nikos Deligiannis
63
4
0
18 Mar 2020
Approximating the Hotelling Observer with Autoencoder-Learned Efficient
  Channels for Binary Signal Detection Tasks
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks
Jason L. Granstedt
Weimin Zhou
M. Anastasio
62
5
0
04 Mar 2020
Deep One-bit Compressive Autoencoding
Deep One-bit Compressive Autoencoding
Shahin Khobahi
Arindam Bose
M. Soltanalian
13
3
0
10 Dec 2019
Model-Aware Deep Architectures for One-Bit Compressive Variational
  Autoencoding
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding
Shahin Khobahi
M. Soltanalian
72
13
0
27 Nov 2019
Deep Decomposition Learning for Inverse Imaging Problems
Deep Decomposition Learning for Inverse Imaging Problems
Dongdong Chen
Mike E. Davies
69
40
0
25 Nov 2019
Inference with Deep Generative Priors in High Dimensions
Inference with Deep Generative Priors in High Dimensions
Jillian R. Fisher
Mojtaba Sahraee-Ardakan
S. Rangan
Zaid Harchaoui
Yejin Choi
BDL
67
47
0
08 Nov 2019
Learning-Based Low-Rank Approximations
Learning-Based Low-Rank Approximations
Piotr Indyk
A. Vakilian
Yang Yuan
96
69
0
30 Oct 2019
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Rubin Jose Peter
C. Murthy
40
4
0
17 Sep 2019
Learning Sub-Sampling and Signal Recovery with Applications in
  Ultrasound Imaging
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
Iris A. M. Huijben
Bastiaan S. Veeling
K. Janse
M. Mischi
Ruud J. G. van Sloun
58
52
0
15 Aug 2019
Deep Compressed Sensing
Deep Compressed Sensing
Yan Wu
Mihaela Rosca
Timothy Lillicrap
GAN
107
167
0
16 May 2019
Asymptotics of MAP Inference in Deep Networks
Asymptotics of MAP Inference in Deep Networks
Parthe Pandit
Mojtaba Sahraee
S. Rangan
A. Fletcher
95
21
0
01 Mar 2019
MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
Nanyu Li
Cuiyin Liu
19
1
0
26 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI Reconstruction
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
81
95
0
31 Jan 2019
Joint group and residual sparse coding for image compressive sensing
Joint group and residual sparse coding for image compressive sensing
Lizhao Li
Song Xiao
85
8
0
23 Jan 2019
Uncertainty Autoencoders: Learning Compressed Representations via
  Variational Information Maximization
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover
Stefano Ermon
100
53
0
26 Dec 2018
Evolutionary Neural Architecture Search for Image Restoration
Evolutionary Neural Architecture Search for Image Restoration
Gerard Jacques van Wyk
Anna Sergeevna Bosman
66
36
0
14 Dec 2018
Image Restoration using Total Variation Regularized Deep Image Prior
Image Restoration using Total Variation Regularized Deep Image Prior
Jiaming Liu
Yu Sun
Xiaojian Xu
Ulugbek S. Kamilov
79
181
0
30 Oct 2018
Algorithmic Aspects of Inverse Problems Using Generative Models
Algorithmic Aspects of Inverse Problems Using Generative Models
Chinmay Hegde
GAN
80
21
0
08 Oct 2018
Rate-Adaptive Neural Networks for Spatial Multiplexers
Rate-Adaptive Neural Networks for Spatial Multiplexers
Suhas Lohit
Rajhans Singh
K. Kulkarni
Pavan Turaga
48
17
0
08 Sep 2018
Modeling Sparse Deviations for Compressed Sensing using Generative
  Models
Modeling Sparse Deviations for Compressed Sensing using Generative Models
Manik Dhar
Aditya Grover
Stefano Ermon
95
79
0
04 Jul 2018
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu
A. Dimakis
Sujay Sanghavi
Felix X. Yu
D. Holtmann-Rice
Dmitry Storcheus
Afshin Rostamizadeh
Sanjiv Kumar
SSL
74
53
0
26 Jun 2018
Deep neural network based sparse measurement matrix for image compressed
  sensing
Deep neural network based sparse measurement matrix for image compressed sensing
Wenxue Cui
F. Jiang
Xinwei Gao
Wen Tao
Debin Zhao
58
17
0
19 Jun 2018
CS-VQA: Visual Question Answering with Compressively Sensed Images
CS-VQA: Visual Question Answering with Compressively Sensed Images
Li-Chi Huang
K. Kulkarni
Anik Jha
Suhas Lohit
Suren Jayasuriya
Pavan Turaga
CoGe
34
8
0
08 Jun 2018
The Global Optimization Geometry of Shallow Linear Neural Networks
The Global Optimization Geometry of Shallow Linear Neural Networks
Zhihui Zhu
Daniel Soudry
Yonina C. Eldar
M. Wakin
ODL
82
36
0
13 May 2018
An efficient deep convolutional laplacian pyramid architecture for CS
  reconstruction at low sampling ratios
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
Wenxue Cui
Heyao Xu
Xinwei Gao
Shengping Zhang
F. Jiang
Debin Zhao
40
12
0
13 Apr 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Xinyuan Zhang
Xin Yuan
Lawrence Carin
61
28
0
19 Mar 2018
Efficient and accurate inversion of multiple scattering with deep
  learning
Efficient and accurate inversion of multiple scattering with deep learning
Yu Sun
Zhihao Xia
Ulugbek S. Kamilov
86
126
0
18 Mar 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with
  Provable Guarantees
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
Chinmay Hegde
GAN
144
167
0
23 Feb 2018
Compressive Light Field Reconstructions using Deep Learning
Compressive Light Field Reconstructions using Deep Learning
Mayank Gupta
Arjun Jauhari
K. Kulkarni
Suren Jayasuriya
A. Molnar
Pavan Turaga
3DV
69
40
0
05 Feb 2018
Full Image Recover for Block-Based Compressive Sensing
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie
Chenye Wang
Jiang Du
Guangming Shi
129
17
0
01 Feb 2018
Perceptual Compressive Sensing
Perceptual Compressive Sensing
Jiang Du
Xuemei Xie
Chenye Wang
Guangming Shi
104
9
0
01 Feb 2018
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep
  Learning
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning
Xiaotong Lu
W. Dong
Peiyao Wang
Guangming Shi
Xuemei Xie
83
29
0
31 Jan 2018
Fully Convolutional Measurement Network for Compressive Sensing Image
  Reconstruction
Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Jiang Du
Xuemei Xie
Chenye Wang
Guangming Shi
Xun Xu
Yuxiang Wang
114
62
0
21 Nov 2017
Adaptive Measurement Network for CS Image Reconstruction
Adaptive Measurement Network for CS Image Reconstruction
Xuemei Xie
Yuxiang Wang
Guangming Shi
Chenye Wang
Jiang Du
Zhifu Zhao
41
39
0
23 Sep 2017
Deep Learning Sparse Ternary Projections for Compressed Sensing of
  Images
Deep Learning Sparse Ternary Projections for Compressed Sensing of Images
Duc Minh Nguyen
Evaggelia Tsiligianni
Nikos Deligiannis
37
27
0
28 Aug 2017
Convolutional Neural Networks for Non-iterative Reconstruction of
  Compressively Sensed Images
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images
Suhas Lohit
K. Kulkarni
Ronan Kerviche
Pavan Turaga
A. Ashok
60
117
0
15 Aug 2017
Deep Learning for Passive Synthetic Aperture Radar
Deep Learning for Passive Synthetic Aperture Radar
Bariscan Yonel
Eric Mason
B. Yazıcı
16
53
0
12 Aug 2017
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural
  Networks
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks
Ali Mousavi
Gautam Dasarathy
Richard G. Baraniuk
133
80
0
11 Jul 2017
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image
  Compressive Sensing
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang
Guohao Li
76
37
0
24 Jun 2017
Inference in Deep Networks in High Dimensions
Inference in Deep Networks in High Dimensions
A. Fletcher
S. Rangan
BDL
134
69
0
20 Jun 2017
Image Restoration from Patch-based Compressed Sensing Measurement
Image Restoration from Patch-based Compressed Sensing Measurement
Guangtao Nie
Ying Fu
Yinqiang Zheng
Hua Huang
115
10
0
02 Jun 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Paul Hand
V. Voroninski
UQCV
179
138
0
22 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image
  Recovery
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler
Ali Mousavi
Richard G. Baraniuk
104
286
0
21 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
80
348
0
29 Mar 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive
  Sensing
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao
Feng Dai
Dongming Zhang
Yike Ma
Shiliang Zhang
Yongdong Zhang
Qi Tian
100
311
0
19 Feb 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi
Richard G. Baraniuk
152
286
0
14 Jan 2017
CSVideoNet: A Real-time End-to-end Learning Framework for
  High-frame-rate Video Compressive Sensing
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
Kai Xu
Fengbo Ren
64
8
0
15 Dec 2016
Compressive Image Recovery Using Recurrent Generative Model
Compressive Image Recovery Using Recurrent Generative Model
Akshat Dave
Anil Kumar Vadathya
Kaushik Mitra
GAN
87
21
0
13 Dec 2016
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