6 citations · 23 across the 10 of their papers we have counts for
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stat.ML2020★ 4 cited
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…
cs.LG2020
Lipschitz standardization for multivariate learning
Adrián Javaloy, Isabel Valera
Probabilistic learning is increasingly being tackled as an optimization problem, with gradient-based approaches as predominant methods. When modelling multivariate likelihoods, a u…