most citedAutoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2026

Divergence-Free Diffusion Models for Incompressible Fluid Flows

Wilfried Genuist, Éric Savin, Filippo Gatti +1

Generative diffusion models are extensively used in unsupervised and self-supervised machine learning with the aim to generate new samples from a probability distribution estimated…

cs.LG2025★ 1 cited

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction

Wilfried Genuist, Éric Savin, Filippo Gatti +1

Building on recent advances in scientific machine learning and generative modeling for computational fluid dynamics, we propose a conditional score-based diffusion model designed f…