777 citations · 1.8k across the 46 of their papers we have counts for
3 papers · 2 filters
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.…
Explaining the effects of non-convergent sampling in the training of Energy-Based Models
Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle +1
In this paper, we quantify the impact of using non-convergent Markov chains to train Energy-Based models (EBMs). In particular, we show analytically that EBMs trained with non-pers…