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Equilibrium and non-Equilibrium regimes in the learning of Restricted
  Boltzmann Machines
v1v2v3v4 (latest)

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines

28 May 2021
A. Decelle
Cyril Furtlehner
Beatriz Seoane
ArXiv (abs)PDFHTML

Papers citing "Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines"

15 / 15 papers shown
Title
Cascade of phase transitions in the training of Energy-based models
Cascade of phase transitions in the training of Energy-based models
Dimitrios Bachtis
Giulio Biroli
A. Decelle
Beatriz Seoane
79
4
0
23 May 2024
Generative modeling through internal high-dimensional chaotic activity
Generative modeling through internal high-dimensional chaotic activity
Samantha J. Fournier
Pierfrancesco Urbani
79
1
0
17 May 2024
Sparse generative modeling via parameter-reduction of Boltzmann
  machines: application to protein-sequence families
Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families
Pierre Barrat-Charlaix
Anna Paola Muntoni
Kai Shimagaki
M. Weigt
F. Zamponi
48
18
0
23 Nov 2020
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems
D. Yevick
R. Melko
AI4CE
28
11
0
27 Apr 2020
'Place-cell' emergence and learning of invariant data with restricted
  Boltzmann machines: breaking and dynamical restoration of continuous
  symmetries in the weight space
'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space
Moshir Harsh
J. Tubiana
Simona Cocco
R. Monasson
47
15
0
30 Dec 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
89
213
0
22 Apr 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
63
156
0
29 Mar 2019
Efficient Learning of Restricted Boltzmann Machines Using Covariance
  Estimates
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates
V. Upadhya
P. Sastry
45
2
0
25 Oct 2018
Restricted Boltzmann Machines: Introduction and Review
Restricted Boltzmann Machines: Introduction and Review
Guido Montúfar
AI4CE
61
51
0
19 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Deep Learning the Ising Model Near Criticality
Deep Learning the Ising Model Near Criticality
A. Morningstar
R. Melko
AI4CE
53
86
0
15 Aug 2017
Equivalence of restricted Boltzmann machines and tensor network states
Equivalence of restricted Boltzmann machines and tensor network states
Martín Arjovsky
Song Cheng
Haidong Xie
Léon Bottou
Tao Xiang
78
225
0
17 Jan 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,062
0
10 Jun 2016
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer
  Free Energy
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy
Marylou Gabrié
Eric W. Tramel
Florent Krzakala
AI4CE
73
39
0
09 Jun 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
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