Fast training and sampling of Restricted Boltzmann Machines

Authors

Cyril Furtlehner (ORCID: https://orcid.org/0000-0002-3986-2076)
Beatriz Seoane (ORCID: https://orcid.org/0000-0003-4007-9406)
Aurélien Decelle (ORCID: https://orcid.org/0000-0002-3017-0858)
Lorenzo Rosset (ORCID: https://orcid.org/0000-0001-6122-5252)
Nicolas Béreux

Institutions

Universidad Complutense de Madrid (ES)
Centre National de la Recherche Scientifique (FR)
Université Paris-Saclay (FR)
Sorbonne Université (FR)
Biologie Computationnelle, Quantitative et Synthétique (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-04-24
Citations: 2
Primary Topic: Generative Adversarial Networks and Image Synthesis
Type: article
Field-Weighted Citation Impact: 2.55

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article

Fast training and sampling of Restricted Boltzmann Machines

Cyril Furtlehner, Beatriz Seoane, Aurélien Decelle, Lorenzo Rosset et al.

Apr 24, 2025

2 citations

SPIRE - Sciences Po Institutional REpository

Generative Adversarial Networks and Image Synthesis

2.55

article

Fast training and sampling of Restricted Boltzmann Machines

Cyril Furtlehner, Beatriz Seoane, Aurélien Decelle, Lorenzo Rosset, Nicolas Béreux

April 24, 2025article en

2 citations

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Universidad Complutense de Madrid (ES), Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Sorbonne Université (FR), Biologie Computationnelle, Quantitative et Synthétique (FR)

Affordable and clean energy

Openalex Percentile: Top 13%

Generative Adversarial Networks and Image Synthesis

2.55

Open Access PDF OpenAlex

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