777 citations · 1.8k across the 46 of their papers we have counts for
Showing 2021 · cs.LGShow all
2 papers · 2 filters
cs.LG2021
Regularization of Mixture Models for Robust Principal Graph Learning
Tony Bonnaire, Aurélien Decelle, Nabila Aghanim
A regularized version of Mixture Models is proposed to learn a principal graph from a distribution of -dimensional data points. In the particular case of manifold learning for r…
cs.LG2021★ 37 cited
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
Training Restricted Boltzmann Machines (RBMs) has been challenging for a long time due to the difficulty of computing precisely the log-likelihood gradient. Over the past decades,…