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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

18 March 2020
Huynh Van Luong
Boris Joukovsky
Nikos Deligiannis
ArXiv (abs)PDFHTML

Papers citing "Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $\ell_1$-$\ell_1$ Minimization: Architecture Design and Generalization Analysis"

3 / 3 papers shown
Title
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
107
0
0
09 Mar 2023
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
266
237
0
23 Mar 2021
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse
  Problems: Applications in Medical Imaging
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella
João F. C. Mota
110
4
0
29 Nov 2020
1