PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks

Marius Almanstötter, Roman Vetter, Dagmar Iber

Parameter estimation for differential equations from measured data is an inverse problem prevalent across quantitative sciences. Physics-Informed Neural Networks (PINNs) have emerg…