2 papers
nlin.CD2026
Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models
Fabrizio Falasca
A central challenge in climate science and applied mathematics is developing data-driven models of multiscale systems that capture both stationary statistics and responses to exter…
stat.ML2025
Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling
Ludovico T. Giorgini, Fabrizio Falasca, Andre N. Souza
We present a novel and flexible data-driven framework for estimating the response of higher-order moments of nonlinear stochastic systems to small external perturbations. The class…