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Criticality & Deep Learning II: Momentum Renormalisation Group

Criticality & Deep Learning II: Momentum Renormalisation Group

31 May 2017
D. Oprisa
Peter Toth
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Criticality & Deep Learning II: Momentum Renormalisation Group"

4 / 4 papers shown
Title
Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis
Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis
Donghee Lee
Hye-Sung Lee
Jaeok Yi
49
1
0
01 Oct 2024
Categorical Representation Learning and RG flow operators for
  algorithmic classifiers
Categorical Representation Learning and RG flow operators for algorithmic classifiers
A. Sheshmani
Yi-Zhuang You
Wenbo Fu
A. Azizi
AI4CE
26
1
0
15 Mar 2022
RG-Flow: A hierarchical and explainable flow model based on
  renormalization group and sparse prior
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
Hong-Ye Hu
Dian Wu
Yi-Zhuang You
Bruno A. Olshausen
Yubei Chen
BDLDRL
89
16
0
30 Sep 2020
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
134
201
0
02 Oct 2018
1