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Model-Based Deep Learning: On the Intersection of Deep Learning and
  Optimization

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

5 May 2022
Nir Shlezinger
Yonina C. Eldar
Stephen P. Boyd
ArXivPDFHTML

Papers citing "Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization"

15 / 15 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
AI-Aided Kalman Filters
AI-Aided Kalman Filters
Nir Shlezinger
Guy Revach
Anubhab Ghosh
S. Chatterjee
Shuo Tang
Tales Imbiriba
J. Duník
O. Straka
Pau Closas
Yonina C. Eldar
77
3
0
16 Oct 2024
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement
Gargi Panda
Soumitra Kundu
Saumik Bhattacharya
Aurobinda Routray
41
0
0
02 Sep 2024
Physics-Inspired Generative Models in Medical Imaging: A Review
Physics-Inspired Generative Models in Medical Imaging: A Review
Dennis Hein
Afshin Bozorgpour
Dorit Merhof
Ge Wang
DiffM
MedIm
AI4CE
39
0
0
15 Jul 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the
  Gradient
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Natavsa Tagasovska
Vladimir Gligorijević
Kyunghyun Cho
Andreas Loukas
DiffM
52
4
0
28 May 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep
  Unfolding
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding
Yuya Kawamura
Satoshi Takabe
BDL
34
0
0
23 Feb 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Luca Schmid
Tomer Raviv
Nir Shlezinger
Laurent Schmalen
33
5
0
23 Jan 2024
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
Shoaib Imran
Muhammad Ahmad Tahir
Zubair Khalid
M. Uppal
16
0
0
06 Nov 2022
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic
  Control
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control
Solomon Goldgraber Casspi
O. Husser
Guy Revach
Nir Shlezinger
21
2
0
23 Oct 2022
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM
Geon Choi
Jeonghun Park
Nir Shlezinger
Yonina C. Eldar
Namyoon Lee
25
0
0
18 Oct 2022
Statistical Hypothesis Testing Based on Machine Learning: Large
  Deviations Analysis
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
P. Braca
L. Millefiori
A. Aubry
S. Maranò
A. De Maio
P. Willett
29
12
0
22 Jul 2022
Unsupervised Learned Kalman Filtering
Unsupervised Learned Kalman Filtering
Guy Revach
Nir Shlezinger
Timur Locher
Xiaoyong Ni
Ruud J. G. van Sloun
Yonina C. Eldar
SSL
25
31
0
18 Oct 2021
Deep Unrolled Recovery in Sparse Biological Imaging
Deep Unrolled Recovery in Sparse Biological Imaging
Yair Ben Sahel
John P. Bryan
B. Cleary
Samouil L. Farhi
Yonina C. Eldar
SyDa
37
16
0
28 Sep 2021
Learned super resolution ultrasound for improved breast lesion
  characterization
Learned super resolution ultrasound for improved breast lesion characterization
Or Bar-Shira
A. Grubstein
Y. Rapson
Dror Suhami
E. Atar
Keren Peri-Hanania
R. Rosen
Yonina C. Eldar
28
12
0
12 Jul 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
28
315
0
15 Dec 2020
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