2 papers
physics.flu-dyn2026
Turbulent pair dispersion with Stochastic Generative Diffusion Models
Andrei Pantea, Luca Biferale, Michele Buzzicotti +3
Recent advances in data-driven modeling have shown that diffusion models can successfully generate synthetic Lagrangian trajectories in turbulent flows. Building on this progress,…
cs.LG2025
PRIVET: Privacy Metric Based on Extreme Value Theory
Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane +6
Deep generative models are often trained on sensitive data, such as genetic sequences, health data, or more broadly, any copyrighted, licensed or protected content. This raises cri…