54 citations · 111 across the 13 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…