Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers

Dingling Yao, Filip Tronarp, Nathanael Bosch

Filtering-based probabilistic numerical solvers for ordinary differential equations (ODEs), also known as ODE filters, have been established as efficient methods for quantifying nu…