John Harlim

Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels

We address the problem of learning ordinary differential equations (ODEs) on manifolds. Existing machine learning methods, particularly those using neural networks, often struggle with high computational demands. To overcome this issue, we introduce a geometrically constrained operator-valued kernel…