361 citations · 518 across the 20 of their papers we have counts for
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cs.LG2019
Natural Alpha Embeddings
Riccardo Volpi, Luigi Malagò
Learning an embedding for a large collection of items is a popular approach to overcome the computational limitations associated to one-hot encodings. The aim of item embedding is…
astro-ph.IM2019★ 54 cited
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli +1
In this paper, we present the first study that compares different models of Bayesian Neural Networks (BNNs) to predict the posterior distribution of the cosmological parameters dir…
cs.LG2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets
Riccardo Volpi, Vittorio Murino
We are concerned with the vulnerability of computer vision models to distributional shifts. We formulate a combinatorial optimization problem that allows evaluating the regions in…