55 citations · 110 across the 4 of their papers we have counts for
4 papers
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele, Giancarlo Fissore, Adrián Javaloy +2
Learning expressive probabilistic models correctly describing the data is a ubiquitous problem in machine learning. A popular approach for solving it is mapping the observations in…
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner +1
In a standard multi-output classification scenario, both features and labels of training data are partially observed. This challenging issue is widely witnessed due to sensor or da…
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner
We investigate the thermodynamic properties of a Restricted Boltzmann Machine (RBM), a simple energy-based generative model used in the context of unsupervised learning. Assuming t…
Spectral Dynamics of Learning Restricted Boltzmann Machines
Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner
The Restricted Boltzmann Machine (RBM), an important tool used in machine learning in particular for unsupervized learning tasks, is investigated from the perspective of its spectr…