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