Learning unknown ODE models with Gaussian processes

In our comparison table of trajectory models, we list Heinonen et al.'s GP-ODE (NPODE) as an example that achieves both C^1 smoothness and dynamical consistency by learning the vector field as a Gaussian process; riva2026random uses it to illustrate that smoothing and ODE structure can coexist when f is modelled explicitly.