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2011.11307
Cited By
Restricted Boltzmann Machine, recent advances and mean-field theory
23 November 2020
A. Decelle
Cyril Furtlehner
AI4CE
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Papers citing
"Restricted Boltzmann Machine, recent advances and mean-field theory"
24 / 24 papers shown
Title
Effective Method for Inverse Ising Problem under Missing Observations in Restricted Boltzmann Machines
Kaiji Sekimoto
Muneki Yasuda
AI4CE
29
0
0
08 Apr 2025
Dataset-Free Weight-Initialization on Restricted Boltzmann Machine
Muneki Yasuda
Ryosuke Maeno
Chako Takahashi
89
0
0
17 Jan 2025
Cascade of phase transitions in the training of Energy-based models
Dimitrios Bachtis
Giulio Biroli
A. Decelle
Beatriz Seoane
47
4
0
23 May 2024
'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
17
14
0
30 Dec 2019
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
G. Fissore
A. Decelle
Cyril Furtlehner
Yufei Han
OOD
11
8
0
19 Dec 2019
Gaussian-Spherical Restricted Boltzmann Machines
A. Decelle
Cyril Furtlehner
37
5
0
31 Oct 2019
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting
Yuuki Yokoyama
Tomu Katsumata
Muneki Yasuda
61
9
0
30 Nov 2018
Restricted Boltzmann Machines: Introduction and Review
Guido Montúfar
AI4CE
35
51
0
19 Jun 2018
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
65
870
0
23 Mar 2018
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
Gavin Hartnett
Edward Parker
Edward Geist
28
23
0
17 Mar 2018
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
A. Decelle
G. Fissore
Cyril Furtlehner
AI4CE
48
42
0
05 Mar 2018
Role of zero synapses in unsupervised feature learning
Haiping Huang
MLT
SSL
8
8
0
23 Mar 2017
Phase Diagram of Restricted Boltzmann Machines and Generalised Hopfield Networks with Arbitrary Priors
Adriano Barra
G. Genovese
Peter Sollich
Daniele Tantari
33
69
0
20 Feb 2017
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
Eric W. Tramel
Marylou Gabrié
Andre Manoel
F. Caltagirone
Florent Krzakala
AI4CE
33
32
0
10 Feb 2017
Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses
Haiping Huang
SSL
AI4CE
23
29
0
06 Dec 2016
Emergence of Compositional Representations in Restricted Boltzmann Machines
J. Tubiana
R. Monasson
AI4CE
20
91
0
21 Nov 2016
Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition
Haiping Huang
Taro Toyoizumi
SSL
13
16
0
12 Aug 2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines
Eric W. Tramel
Andre Manoel
F. Caltagirone
Marylou Gabrié
Florent Krzakala
59
21
0
13 Jun 2016
Mean-Field Inference in Gaussian Restricted Boltzmann Machine
Chako Takahashi
Muneki Yasuda
23
9
0
03 Dec 2015
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy
Marylou Gabrié
Eric W. Tramel
Florent Krzakala
AI4CE
51
39
0
09 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
610
76,547
0
18 May 2015
Advanced Mean Field Theory of Restricted Boltzmann Machine
Haiping Huang
Taro Toyoizumi
62
34
0
01 Feb 2015
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
99
2,191
0
10 Jun 2014
On the equivalence of Hopfield Networks and Boltzmann Machines
Adriano Barra
A. Bernacchia
Enrica Santucci
P. Contucci
77
115
0
13 May 2011
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