24 citations · 26 across the 2 of their papers we have counts for
3 papers
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…
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…
Unsupervised hierarchical clustering using the learning dynamics of RBMs
Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane
Datasets in the real world are often complex and to some degree hierarchical, with groups and sub-groups of data sharing common characteristics at different levels of abstraction.…