Matern Gaussian processes on Riemannian manifolds

17 Jun 2020Viacheslav BorovitskiyAlexander TereninPeter MostowskyMarc Peter Deisenroth

Gaussian processes are an effective model class for learning unknown functions, particularly in settings where accurately representing predictive uncertainty is of key importance. Motivated by applications in the physical sciences, the widely-used Mat\'{e}rn class of Gaussian processes has recently been generalized to model functions whose domains are Riemannian manifolds, by re-expressing said processes as solutions of stochastic partial differential equations... (read more)

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