68 citations · 86 across the 15 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
physics.comp-ph2019
Machine-learning techniques for the optimal design of acoustic metamaterials
Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi +1
Recently, an increasing research effort has been dedicated to analyse the transmission and dispersion properties of periodic acoustic metamaterials, characterized by the presence o…
stat.ME2019★ 1 cited
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
Falco J. Bargagli-Stoffi, Kristof De-Witte, Giorgio Gnecco
This paper introduces an innovative Bayesian machine learning algorithm to draw interpretable inference on heterogeneous causal effects in the presence of imperfect compliance (e.g…