754 citations · 1.8k across the 39 of their papers we have counts for
4 papers · 1 filter
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…
Effective models and predictability of chaotic multiscale systems via machine learning
Francesco Borra, Angelo Vulpiani, Massimo Cencini
We scrutinize the use of machine learning, based on reservoir computing, to build data-driven effective models of multiscale chaotic systems. We show that, for a wide scale separat…
Data science and the art of modelling
Hykel Hosni, Angelo Vulpiani
Datacentric enthusiasm is growing strong across a variety of domains. Whilst data science asks unquestionably exciting scientific questions, we argue that its contributions should…
Random thoughts about Complexity, Data and Models
Hykel Hosni, Angelo Vulpiani
Data Science and Machine learning have been growing strong for the past decade. We argue that to make the most of this exciting field we should resist the temptation of assuming th…