Learning a restricted Boltzmann machine using biased Monte Carlo sampling

Restricted Boltzmann Machines are simple and powerful generative models that can encode any complex dataset. Despite all their advantages, in practice the trainings are often unstable and it is difficult to assess their quality because the dynamics are affected by extremely slow time dependencies. T...

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Bibliographic Details
Main Author: Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
Format: Article
Language:English
Published: SciPost 2023-03-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.14.3.032

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