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Controlling Neural Networks via Energy Dissipation

Controlling Neural Networks via Energy Dissipation

5 April 2019
Michael Möller
Thomas Möllenhoff
Daniel Cremers
ArXivPDFHTML

Papers citing "Controlling Neural Networks via Energy Dissipation"

3 / 3 papers shown
Title
From Learning to Optimize to Learning Optimization Algorithms
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
38
1
0
28 May 2024
Optimization-Derived Learning with Essential Convergence Analysis of
  Training and Hyper-training
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
16
6
0
16 Jun 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
114
1,190
0
16 Aug 2016
1