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Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer
  Free Energy

Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy

9 June 2015
Marylou Gabrié
Eric W. Tramel
Florent Krzakala
    AI4CE
ArXivPDFHTML

Papers citing "Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy"

12 / 12 papers shown
Title
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux
Eric Moulines
Marylou Gabrié
54
2
0
01 Jun 2023
Explaining the effects of non-convergent sampling in the training of
  Energy-Based Models
Explaining the effects of non-convergent sampling in the training of Energy-Based Models
E. Agoritsas
Giovanni Catania
A. Decelle
Beatriz Seoane
DiffM
37
10
0
23 Jan 2023
Restricted Boltzmann Machine, recent advances and mean-field theory
Restricted Boltzmann Machine, recent advances and mean-field theory
A. Decelle
Cyril Furtlehner
AI4CE
27
54
0
23 Nov 2020
From Boltzmann Machines to Neural Networks and Back Again
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel
Adam R. Klivans
Frederic Koehler
29
5
0
25 Jul 2020
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann
  Machines
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines
Burak Çakmak
Manfred Opper
AI4CE
31
11
0
04 May 2020
Gaussian-Spherical Restricted Boltzmann Machines
Gaussian-Spherical Restricted Boltzmann Machines
A. Decelle
Cyril Furtlehner
35
5
0
31 Oct 2019
Thermodynamics of Restricted Boltzmann Machines and related learning
  dynamics
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
A. Decelle
G. Fissore
Cyril Furtlehner
AI4CE
41
42
0
05 Mar 2018
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate
  Message Passing and Applications
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
90
124
0
03 Jan 2017
Spectral Inference Methods on Sparse Graphs: Theory and Applications
Spectral Inference Methods on Sparse Graphs: Theory and Applications
Alaa Saade
30
6
0
14 Oct 2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted
  Boltzmann Machines
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines
Eric W. Tramel
Andre Manoel
F. Caltagirone
Marylou Gabrié
Florent Krzakala
57
21
0
13 Jun 2016
Partition Functions from Rao-Blackwellized Tempered Sampling
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson
Patrick Stinson
Ari Pakman
Liam Paninski
41
13
0
07 Mar 2016
Approximate Message Passing with Restricted Boltzmann Machine Priors
Approximate Message Passing with Restricted Boltzmann Machine Priors
Eric W. Tramel
Angélique Dremeau
Florent Krzakala
30
34
0
23 Feb 2015
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