3 citations · 3 across the 1 of their papers we have counts for
2 papers
physics.data-an2020★ 3 cited
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps
Francesco Borra, Marco Baldovin
Machine learning techniques not only offer efficient tools for modelling dynamical systems from data, but can also be employed as frontline investigative instruments for the underl…
cond-mat.dis-nn2019
Generalization from correlated sets of patterns in the perceptron
Francesco Borra, Marco Cosentino Lagomarsino, Pietro Rotondo +1
Generalization is a central aspect of learning theory. Here, we propose a framework that explores an auxiliary task-dependent notion of generalization, and attempts to quantitative…