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Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

9 September 2014
J. Hershey
Jonathan Le Roux
F. Weninger
    BDL
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Papers citing "Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures"

50 / 58 papers shown
Title
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer
Tomer Shaked
Caroline Chaux
Nir Shlezinger
AAML
45
0
0
26 Apr 2025
Compressed Sensor Caching and Collaborative Sparse Data Recovery with
  Anchor Alignment
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
Yi-Jen Yang
Ming-Hsun Yang
Jwo-Yuh Wu
Y.-W. Peter Hong
44
0
0
14 Jun 2024
Deep Learning Based Uplink Multi-User SIMO Beamforming Design
Deep Learning Based Uplink Multi-User SIMO Beamforming Design
Cemil Vahapoglu
Tim O'Shea
Tamoghna Roy
S. Ulukus
29
7
0
28 Sep 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
28
13
0
02 Apr 2023
DeDA: Deep Directed Accumulator
DeDA: Deep Directed Accumulator
Hang Zhang
Rongguang Wang
Renjiu Hu
Jinwei Zhang
Jiahao Nick Li
MedIm
27
4
0
15 Mar 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing
Generalization analysis of an unfolding network for analysis-based Compressed Sensing
Vicky Kouni
Yannis Panagakis
MLT
26
0
0
09 Mar 2023
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
Satoshi Takabe
Takashi Abe
12
1
0
09 Feb 2023
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic
  SAR Imaging with Adaptive Threshold
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
Muhan Wang
Zhe Zhang
Xiaolan Qiu
Silin Gao
Yue Wang
24
10
0
30 Nov 2022
Explainable bilevel optimization: an application to the Helsinki deblur
  challenge
Explainable bilevel optimization: an application to the Helsinki deblur challenge
S. Bonettini
Giorgia Franchini
Danilo Pezzi
M. Prato
19
10
0
18 Oct 2022
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Efficient Deep Unfolding for SISO-OFDM Channel Estimation
Efficient Deep Unfolding for SISO-OFDM Channel Estimation
Baptiste Chatelier
Luc Le Magoarou
Getachew Redieteab
24
12
0
11 Oct 2022
Deep Unfolding for Iterative Stripe Noise Removal
Deep Unfolding for Iterative Stripe Noise Removal
Zeshan Fayyaz
Daniel David Platnick
Hannan Fayyaz
Nariman Farsad
16
9
0
27 Sep 2022
Progressive Fusion for Multimodal Integration
Progressive Fusion for Multimodal Integration
Shiv Shankar
Laure Thompson
M. Fiterau
31
3
0
01 Sep 2022
Block Modulating Video Compression: An Ultra Low Complexity Image
  Compression Encoder for Resource Limited Platforms
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms
Yujia Xue
Siming Zheng
Waleed Tahir
Zhengjue Wang
Hao Zhang
Ziyi Meng
Lei Tian
Xin Yuan
21
4
0
07 May 2022
Tight integration of neural- and clustering-based diarization through
  deep unfolding of infinite Gaussian mixture model
Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model
K. Kinoshita
Marc Delcroix
Tomoharu Iwata
BDL
22
19
0
14 Feb 2022
Modeling Structure with Undirected Neural Networks
Modeling Structure with Undirected Neural Networks
Tsvetomila Mihaylova
Vlad Niculae
André F. T. Martins
GNN
17
1
0
08 Feb 2022
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in
  Wireless Networks
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks
Boning Li
Gunjan Verma
Santiago Segarra
26
18
0
27 Jan 2022
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
Jiamian Wang
Yulun Zhang
X. Yuan
Ziyi Meng
Zhiqiang Tao
19
9
0
31 Dec 2021
Unrolling PALM for sparse semi-blind source separation
Unrolling PALM for sparse semi-blind source separation
Mohammad Fahes
Christophe Kervazo
J. Bobin
F. Tupin
23
6
0
10 Dec 2021
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
52
15
0
12 Nov 2021
FAID Diversity via Neural Networks
FAID Diversity via Neural Networks
Xin Xiao
Nithin Raveendran
Bane V. Vasic
Shu Lin
Ravi Tandon
31
9
0
10 May 2021
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a
  Convolutional Neural Network
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
B. Fesl
N. Turan
M. Koller
Wolfgang Utschick
11
6
0
26 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
49
225
0
23 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms
Graph Neural Networks Inspired by Classical Iterative Algorithms
Yongyi Yang
T. Liu
Yangkun Wang
Jinjing Zhou
Quan Gan
Zhewei Wei
Zheng-Wei Zhang
Zengfeng Huang
David Wipf
39
83
0
10 Mar 2021
Interpretable Hyperspectral AI: When Non-Convex Modeling meets
  Hyperspectral Remote Sensing
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
Danfeng Hong
Wei He
Naoto Yokoya
Jing Yao
Lianru Gao
Liangpei Zhang
Jocelyn Chanussot
Xiaoxiang Zhu
38
0
0
02 Mar 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
28
317
0
15 Dec 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks
Learning to Beamform in Heterogeneous Massive MIMO Networks
Minghe Zhu
Tsung-Hui Chang
Mingyi Hong
27
22
0
08 Nov 2020
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep
  Unfolding Network
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network
Qiang Ning
W. Dong
Guangming Shi
Leida Li
Xin Li
21
44
0
14 Sep 2020
mpNet: variable depth unfolded neural network for massive MIMO channel
  estimation
mpNet: variable depth unfolded neural network for massive MIMO channel estimation
Taha Yassine
Luc Le Magoarou
15
25
0
07 Aug 2020
Deep unfolding of the weighted MMSE beamforming algorithm
Deep unfolding of the weighted MMSE beamforming algorithm
Lissy Pellaco
M. Bengtsson
Joakim Jaldén
27
21
0
15 Jun 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
21
24
0
05 Jun 2020
Safeguarded Learned Convex Optimization
Safeguarded Learned Convex Optimization
Howard Heaton
Xiaohan Chen
Zhangyang Wang
W. Yin
24
22
0
04 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
21
103
0
22 Feb 2020
Data-Driven Symbol Detection via Model-Based Machine Learning
Data-Driven Symbol Detection via Model-Based Machine Learning
Nariman Farsad
Nir Shlezinger
Andrea J. Goldsmith
Yonina C. Eldar
29
49
0
14 Feb 2020
ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning
ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning
Yi Wei
Ming-Min Zhao
Min-Jian Zhao
M. Lei
9
15
0
14 Feb 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen
Yu Li
Ramzan Umarov
Xin Gao
Le Song
SyDa
AI4TS
24
118
0
13 Feb 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
45
102
0
08 Feb 2020
Identification of Non-Linear RF Systems Using Backpropagation
Identification of Non-Linear RF Systems Using Backpropagation
Andreas Toftegaard Kristensen
A. Burg
Alexios Balatsoukas-Stimming
10
8
0
27 Jan 2020
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Ada-LISTA: Learned Solvers Adaptive to Varying Models
Aviad Aberdam
Alona Golts
Michael Elad
27
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
46
999
0
22 Dec 2019
Deep Radar Waveform Design for Efficient Automotive Radar Sensing
Deep Radar Waveform Design for Efficient Automotive Radar Sensing
Shahin Khobahi
Arindam Bose
M. Soltanalian
19
18
0
17 Dec 2019
Deep Learning-based Polar Code Design
Deep Learning-based Polar Code Design
Moustafa Ebada
Sebastian Cammerer
Ahmed Elkelesh
S. Brink
26
34
0
26 Sep 2019
Deep Learning for CSI Feedback Based on Superimposed Coding
Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
11
42
0
27 Jul 2019
Tree Search Network for Sparse Regression
Tree Search Network for Sparse Regression
Kyung-Su Kim
Sae-Young Chung
12
1
0
01 Apr 2019
Deep Griffin-Lim Iteration
Deep Griffin-Lim Iteration
Yoshiki Masuyama
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
N. Harada
38
55
0
10 Mar 2019
Compressive-Sensing Data Reconstruction for Structural Health
  Monitoring: A Machine-Learning Approach
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach
Y. Bao
Zhiyi Tang
Hui Li
16
82
0
07 Jan 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi
Émilie Chouzenoux
M. Corbineau
J. Pesquet
M. Prato
27
107
0
11 Dec 2018
Multilevel MIMO Detection with Deep Learning
Multilevel MIMO Detection with Deep Learning
V. Corlay
J. Boutros
P. Ciblat
L. Brunel
18
44
0
04 Dec 2018
Deep Signal Recovery with One-Bit Quantization
Deep Signal Recovery with One-Bit Quantization
Shahin Khobahi
Naveed Naimipour
M. Soltanalian
Yonina C. Eldar
9
56
0
30 Nov 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
23
53
0
26 Jun 2018
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