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Degrees of Freedom Analysis of Unrolled Neural Networks

Degrees of Freedom Analysis of Unrolled Neural Networks

10 June 2019
Morteza Mardani
Qingyun Sun
Vardan Papyan
S. Vasanawala
John M. Pauly
D. Donoho
    UQCV
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Papers citing "Degrees of Freedom Analysis of Unrolled Neural Networks"

3 / 3 papers shown
Title
A General Continuous-Time Formulation of Stochastic ADMM and Its
  Variants
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
Chris Junchi Li
42
0
0
22 Apr 2024
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
59
225
0
23 Mar 2021
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of
  Deep-Unfolded Gradient Descent
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent
Satoshi Takabe
T. Wadayama
21
10
0
26 Oct 2020
1