60 citations · 400 across the 30 of their papers we have counts for
3 papers · 1 filter
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…
Understanding causation via correlations and linear response theory
Marco Baldovin, Fabio Cecconi, Angelo Vulpiani
In spite of the (correct) common-wisdom statement correlation does not imply causation, a proper employ of time correlations and of fluctuation-response theory allows to understand…
Statistical mechanics of an integrable system
Marco Baldovin, Angelo Vulpiani, Giacomo Gradenigo
We provide here an explicit example of Khinchin's idea that the validity of equilibrium statistical mechanics in high dimensional systems does not depend on the details of the dyna…