3 papers
cs.LG2026
Training-Free Bayesian Filtering with Generative Emulators
Thomas Savary, François Rozet, Gilles Louppe
Bayesian filtering is a well-known problem that aims to estimate plausible states of a dynamical system from observations. Among existing approaches to solve this problem, particle…
cs.LG2025
Training-Free Data Assimilation with GenCast
Thomas Savary, François Rozet, Gilles Louppe
Data assimilation is widely used in many disciplines such as meteorology, oceanography, and robotics to estimate the state of a dynamical system from noisy observations. In this wo…
nlin.CD2025
Structural Origins and Real-Time Drivers of Intermittency
Alessandro Barone, Alberto Carrassi, Thomas Savary +2
In general terms, intermittency is the property for which time evolving systems alternate among two or more different regimes. Predicting the instance when the regime switch will o…