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Decomposing neural networks as mappings of correlation functions

Decomposing neural networks as mappings of correlation functions

10 February 2022
Kirsten Fischer
Alexandre René
Christian Keup
Moritz Layer
David Dahmen
M. Helias
    FAtt
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Papers citing "Decomposing neural networks as mappings of correlation functions"

3 / 3 papers shown
Title
Bayesian Renormalization
Bayesian Renormalization
D. Berman
Marc S. Klinger
A. G. Stapleton
32
16
0
17 May 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui
Florent Krzakala
Lenka Zdeborová
BDL
25
35
0
01 Feb 2023
Separation of Scales and a Thermodynamic Description of Feature Learning
  in Some CNNs
Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
Inbar Seroussi
Gadi Naveh
Zohar Ringel
35
50
0
31 Dec 2021
1