Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators

Håkon Noren, Sølve Eidnes, Elena Celledoni

We introduce the mean inverse integrator (MII), a novel approach to increase the accuracy when training neural networks to approximate vector fields of dynamical systems from noisy…