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Thermodynamics of Restricted Boltzmann Machines and related learning
  dynamics

Thermodynamics of Restricted Boltzmann Machines and related learning dynamics

5 March 2018
A. Decelle
G. Fissore
Cyril Furtlehner
    AI4CE
ArXivPDFHTML

Papers citing "Thermodynamics of Restricted Boltzmann Machines and related learning dynamics"

13 / 13 papers shown
Title
A theoretical framework for overfitting in energy-based modeling
A theoretical framework for overfitting in energy-based modeling
Giovanni Catania
A. Decelle
Cyril Furtlehner
Beatriz Seoane
62
2
0
31 Jan 2025
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
42
4
0
23 May 2024
Interpretable machine learning of amino acid patterns in proteins: a
  statistical ensemble approach
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
A. Braghetto
E. Orlandini
M. Baiesi
40
4
0
27 Mar 2023
Unsupervised hierarchical clustering using the learning dynamics of RBMs
Unsupervised hierarchical clustering using the learning dynamics of RBMs
A. Decelle
Lorenzo Rosset
Beatriz Seoane
11
5
0
03 Feb 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
17
10
0
23 Jan 2023
Quantifying Relevance in Learning and Inference
Quantifying Relevance in Learning and Inference
M. Marsili
Y. Roudi
14
18
0
01 Feb 2022
The emergence of a concept in shallow neural networks
The emergence of a concept in shallow neural networks
E. Agliari
Francesco Alemanno
Adriano Barra
G. D. Marzo
23
39
0
01 Sep 2021
Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted
  Boltzmann Machines
Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines
C. Roussel
Simona Cocco
R. Monasson
AI4CE
29
14
0
13 Jul 2021
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
12
11
0
04 May 2020
A Probability Density Theory for Spin-Glass Systems
A Probability Density Theory for Spin-Glass Systems
Gavin Hartnett
Masoud Mohseni
16
3
0
03 Jan 2020
Gaussian-Spherical Restricted Boltzmann Machines
Gaussian-Spherical Restricted Boltzmann Machines
A. Decelle
Cyril Furtlehner
27
5
0
31 Oct 2019
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
Gavin Hartnett
Edward Parker
Edward Geist
13
23
0
17 Mar 2018
Advanced Mean Field Theory of Restricted Boltzmann Machine
Advanced Mean Field Theory of Restricted Boltzmann Machine
Haiping Huang
Taro Toyoizumi
42
34
0
01 Feb 2015
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