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cond-mat.stat-mech2024
Density of states in neural networks: an in-depth exploration of learning in parameter space
Margherita Mele, Roberto Menichetti, Alessandro Ingrosso +1
Learning in neural networks critically hinges on the intricate geometry of the loss landscape associated with a given task. Traditionally, most research has focused on finding spec…
cond-mat.stat-mech2023★ 1 cited
Machine learning at the mesoscale: a computation-dissipation bottleneck
Alessandro Ingrosso, Emanuele Panizon
The cost of information processing in physical systems calls for a trade-off between performance and energetic expenditure. Here we formulate and study a computation-dissipation bo…