AI RESEARCH
Resolving gradient pathology in physics-informed epidemiological models
arXiv CS.LG
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ArXi:2603.23799v1 Announce Type: new 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-infected-removed (SEIR) model. However