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A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann
  Machines

A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines

4 May 2020
Burak Çakmak
Manfred Opper
    AI4CE
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Papers citing "A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines"

3 / 3 papers shown
Title
Approximate Message Passing for Multi-Layer Estimation in Rotationally
  Invariant Models
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models
Yizhou Xu
Tianqi Hou
Shansuo Liang
Marco Mondelli
23
4
0
03 Dec 2022
Approximate Message Passing for orthogonally invariant ensembles:
  Multivariate non-linearities and spectral initialization
Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization
Xinyi Zhong
Tianhao Wang
Zhou-Yang Fan
29
20
0
05 Oct 2021
Dynamics of coordinate ascent variational inference: A case study in 2D
  Ising models
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
Sean Plummer
D. Pati
A. Bhattacharya
38
18
0
13 Jul 2020
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