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Mario Pasquato

mario.pasquato@mila.quebec
Visiteur de recherche indépendant - University of Padua
Superviseur⋅e principal⋅e
Laurence Perreault-Levasseur
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Publications

Interpretable Machine Learning for Finding Intermediate-mass Black Holes
Mario Pasquato
Piero Trevisan
Abbas Askar
Pablo Lemos
Gaia Carenini
Michela Mapelli
Yashar Hezaveh
2024-04-09
The Astrophysical Journal (publié)
doi.org
arxiv.org
Active learning meets fractal decision boundaries: a cautionary tale from the Sitnikov three-body problem
Nicolas Payot
Mario Pasquato
Alessandro A. Trani
Yashar Hezaveh
Laurence Perreault-Levasseur
Chaotic systems such as the gravitational N-body problem are ubiquitous in astronomy. Machine learning (ML) is increasingly deployed to pred… (voir plus)ict the evolution of such systems, e.g. with the goal of speeding up simulations. Strategies such as active Learning (AL) are a natural choice to optimize ML training. Here we showcase an AL failure when predicting the stability of the Sitnikov three-body problem, the simplest case of N-body problem displaying chaotic behavior. We link this failure to the fractal nature of our classification problem's decision boundary. This is a potential pitfall in optimizing large sets of N-body simulations via AL in the context of star cluster physics, galactic dynamics, or cosmology.
2023-11-29
ArXiv (prépublication)
arxiv.org
arxiv.org
The search for the lost attractor
Mario Pasquato
Syphax Haddad
Pierfrancesco Di Cintio
Alexandre Adam
Pablo Lemos
No'e Dia
Mircea Petrache
Ugo Niccolo Di Carlo
Alessandro A. Trani
Laurence Perreault-Levasseur
Yashar Hezaveh
2023-11-27
ArXiv (prépublication)
arxiv.org
arxiv.org