Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics

1 code implementation • 13 Jul 2023 • Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane

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 or protein sequences data.

Unsupervised hierarchical clustering using the learning dynamics of RBMs

1 code implementation • 3 Feb 2023 • 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.

Clustering