Spectral Learning of Restricted Boltzmann Machines. - Aurélien Decelle; Giancarlo Fissore; Cyril Furtlehner (CoRR, 2017)

Thermodynamics of Restricted Boltzmann Machines and related learning dynamics. - Aurélien Decelle; Giancarlo Fissore; Cyril Furtlehner (CoRR, 2018)

Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. - Giancarlo Fissore; Yufei Han; Aurélien Decelle; Cyril Furtlehner (STAIRS@ECAI, 2020)

Relative gradient optimization of the Jacobian term in unsupervised deep learning. - Luigi Gresele; Giancarlo Fissore; Adrián Javaloy; Bernhard Schölkopf; Aapo Hyvärinen (NeurIPS, 2020)

Simulating Complex Problems Inside a Database. - Giancarlo Fissore; Nikolaos Vasiloglou (CIKM, 2022)

Generative modeling: statistical physics of Restricted Boltzmann Machines, learning with missing information and scalable training of Linear Flows. (Modélisation générative: physique statistique des Machines de Boltzmann Restreintes, apprentissage avec informations manquantes et apprentissage scalable des flux linéaires). - Giancarlo Fissore (2022)