1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.stat-mech2026
Thermodynamic learning
F. Corberi, S. dello Russo, G. Messuti +2
We discuss the possibility to train a thermodynamic system, whose micro-variables are fully determined through the Hamiltonian by the usual statistical mechanical rules, to perform…
physics.comp-ph2025
Generative Artificial Intelligence for Air Shower Simulation
C. Bozza, A. Calivà, A. De Caro +7
The detailed simulation of extensive air showers, produced by primary cosmic rays interacting in the atmosphere, is a task that is traditionally undertaken by means of Monte Carlo…
cs.LG2024★ 1 cited
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces
Giovanni Messuti, ortensia Amoroso, Ferdinando Napolitano +3
Deep learning models have demonstrated remarkable success in various fields, including seismology. However, one major challenge in deep learning is the presence of mislabeled examp…