Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1409.2574
Cited By
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
9 September 2014
J. Hershey
Jonathan Le Roux
F. Weninger
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures"
50 / 66 papers shown
Title
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer
Tomer Shaked
Caroline Chaux
Nir Shlezinger
AAML
49
0
0
26 Apr 2025
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
Yi-Jen Yang
Ming-Hsun Yang
Jwo-Yuh Wu
Y.-W. Peter Hong
47
0
0
14 Jun 2024
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
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
35
13
0
02 Apr 2023
DeDA: Deep Directed Accumulator
Hang Zhang
Rongguang Wang
Renjiu Hu
Jinwei Zhang
Jiahao Nick Li
MedIm
30
4
0
15 Mar 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing
Vicky Kouni
Yannis Panagakis
MLT
28
0
0
09 Mar 2023
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
Satoshi Takabe
Takashi Abe
17
1
0
09 Feb 2023
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
Muhan Wang
Zhe Zhang
Xiaolan Qiu
Silin Gao
Yue Wang
29
10
0
30 Nov 2022
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
Julia El Zini
M. Awad
31
82
0
13 Oct 2022
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
Zeshan Fayyaz
Daniel David Platnick
Hannan Fayyaz
Nariman Farsad
21
9
0
27 Sep 2022
Progressive Fusion for Multimodal Integration
Shiv Shankar
Laure Thompson
M. Fiterau
36
3
0
01 Sep 2022
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
K. Kinoshita
Marc Delcroix
Tomoharu Iwata
BDL
25
19
0
14 Feb 2022
Modeling Structure with Undirected Neural Networks
Tsvetomila Mihaylova
Vlad Niculae
André F. T. Martins
GNN
22
1
0
08 Feb 2022
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
Jiamian Wang
Yulun Zhang
X. Yuan
Ziyi Meng
Zhiqiang Tao
19
9
0
31 Dec 2021
Unrolling PALM for sparse semi-blind source separation
Mohammad Fahes
Christophe Kervazo
J. Bobin
F. Tupin
27
6
0
10 Dec 2021
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
54
15
0
12 Nov 2021
FAID Diversity via Neural Networks
Xin Xiao
Nithin Raveendran
Bane V. Vasic
Shu Lin
Ravi Tandon
33
9
0
10 May 2021
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
B. Fesl
N. Turan
M. Koller
Wolfgang Utschick
18
6
0
26 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
54
225
0
23 Mar 2021
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
Danfeng Hong
Wei He
Naoto Yokoya
Jing Yao
Lianru Gao
Liangpei Zhang
Jocelyn Chanussot
Xiaoxiang Zhu
46
0
0
02 Mar 2021
Model-Based Machine Learning for Communications
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
33
23
0
12 Jan 2021
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
30
317
0
15 Dec 2020
Learning to Beamform in Heterogeneous Massive MIMO Networks
Minghe Zhu
Tsung-Hui Chang
Mingyi Hong
27
22
0
08 Nov 2020
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Wei Chen
Bowen Zhang
Shimei Jin
B. Ai
Z. Zhong
8
24
0
29 Oct 2020
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent
Satoshi Takabe
T. Wadayama
13
10
0
26 Oct 2020
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
Taha Yassine
Luc Le Magoarou
18
25
0
07 Aug 2020
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
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
21
24
0
05 Jun 2020
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
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
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
Yi Wei
Ming-Min Zhao
Min-Jian Zhao
M. Lei
19
15
0
14 Feb 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen
Yu Li
Ramzan Umarov
Xin Gao
Le Song
SyDa
AI4TS
27
118
0
13 Feb 2020
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
Andreas Toftegaard Kristensen
A. Burg
Alexios Balatsoukas-Stimming
14
8
0
27 Jan 2020
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
V. Monga
Yuelong Li
Yonina C. Eldar
46
1,002
0
22 Dec 2019
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
Moustafa Ebada
Sebastian Cammerer
Ahmed Elkelesh
S. Brink
26
34
0
26 Sep 2019
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Rubin Jose Peter
C. Murthy
16
4
0
17 Sep 2019
Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
19
43
0
27 Jul 2019
Learning step sizes for unfolded sparse coding
Pierre Ablin
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
MQ
25
51
0
27 May 2019
Tree Search Network for Sparse Regression
Kyung-Su Kim
Sae-Young Chung
17
1
0
01 Apr 2019
Deep Griffin-Lim Iteration
Yoshiki Masuyama
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
40
55
0
10 Mar 2019
1
2
Next