2 papers
cs.LG2025
Fast training and sampling of Restricted Boltzmann Machines
Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +2
Restricted Boltzmann Machines (RBMs) are powerful tools for modeling complex systems and extracting insights from data, but their training is hindered by the slow mixing of Markov…
cs.LG2024
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics
Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset +1
In this study, we address the challenge of using energy-based models to produce high-quality, label-specific data in complex structured datasets, such as population genetics, RNA o…