Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels | Michael Hutchinson

Gaussian processes are machine learning models capable of learning unknown functions in a way that represents uncertainty, thereby facilitating construction of optimal decision-making systems.