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 equations often contain unknown functions that are difficult or impossible to measure directly, hampering our ability to derive predictions from the model. Wor…
q-bio.CB2025
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…