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 …
Nickson Golooba, Woldegebriel Assefa Woldegerima
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