Resolving gradient pathology in physics-informed epidemiological models

Nickson Golooba, Woldegebriel Assefa Woldegerima

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 susc…