2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Learning functional components of PDEs from data using neural networks
Torkel E. Loman, Yurij Salmaniw, Antonio Leon Villares +2
Partial differential equation (PDE) models frequently contain unknown functional terms that cannot be measured directly, limiting their predictive utility. While data-driven method…
q-bio.CB2025★ 2 cited
A nonlocal-to-local approach to aggregation-diffusion equations
Carles Falcó, Ruth E. Baker, José A. Carrillo
Over the past decades, nonlocal models have been widely used to describe aggregation phenomena in biology, physics, engineering, and the social sciences. These are often derived as…