Efficiently sampling functions from Gaussian process posteriors. - James T. Wilson; Viacheslav Borovitskiy; Alexander Terenin; Peter Mostowsky; Marc Peter Deisenroth (ICML, 2020)

Matérn Gaussian Processes on Riemannian Manifolds. - Viacheslav Borovitskiy; Alexander Terenin; Peter Mostowsky; Marc Peter Deisenroth (NeurIPS, 2020)

Matérn Gaussian Processes on Graphs. - Viacheslav Borovitskiy; Iskander Azangulov; Alexander Terenin; Peter Mostowsky; Marc Peter Deisenroth; Nicolas Durrande (AISTATS, 2021)

Pathwise Conditioning of Gaussian Processes. - James T. Wilson; Viacheslav Borovitskiy; Alexander Terenin; Peter Mostowsky; Marc Peter Deisenroth (J. Mach. Learn. Res., 2021)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. - Peter Mostowsky; Vincent Dutordoir; Iskander Azangulov; Noémie Jaquier; Michael John Hutchinson; Aditya Ravuri; Leonel Rozo; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2024)