3 papers
gr-qc2024
Probing time-dependent scalar wigs with extreme mass ratio inspirals
Matteo Della Rocca, Georgios Antoniou, Leonardo Gualtieri +1
We investigate the gravitational wave emission from extreme mass ratio inspirals, key targets for the upcoming space-based detector LISA, considering the scenario where the lighter…
gr-qc2024
Extreme mass-ratio inspirals as probes of scalar fields: inclined circular orbits around Kerr black holes
Matteo Della Rocca, Susanna Barsanti, Leonardo Gualtieri +1
Extreme mass-ratio inspirals, a target source for the space-based gravitational wave detector LISA, are a sensitive probe of fundamental scalar fields coupled to gravity. We assess…
cs.LG2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
Davide La Torre, Danilo Liuzzi, Marco Repetto +1
The training phase is the most important stage during the machine learning process. In the case of labeled data and supervised learning, machine training consists in minimizing the…