Resolving gradient pathology in physics-informed epidemiological models
arXiv:2603.23799v1 Announce Type: new
Abstract: Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridge the gap between noisy clinical data and compartmental models, such as the susceptible-exposed-infecte…