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)

Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. - Noémie Jaquier; Viacheslav Borovitskiy; Andrei Smolensky; Alexander Terenin; Tamim Asfour; Leonel Dario Rozo (CoRL, 2021)

Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. - Michael J. Hutchinson; Alexander Terenin; Viacheslav Borovitskiy; So Takao; Yee Whye Teh; Marc Peter Deisenroth (NeurIPS, 2021)

Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels. - Michael J. Hutchinson; Alexander Terenin; Viacheslav Borovitskiy; So Takao; Yee Whye Teh; Marc Peter Deisenroth (CoRR, 2021)

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

Quadric Hypersurface Intersection for Manifold Learning in Feature Space. - Fedor Pavutnitskiy; Sergei O. Ivanov; Evgeniy Abramov; Viacheslav Borovitskiy; Artem Klochkov; Viktor Vyalov; Anatolii Zaikovskii; Aleksandr Petiushko (AISTATS, 2022)

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case. - Iskander Azangulov; Andrei Smolensky; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2022)

Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. - Noémie Jaquier; Leonel Dario Rozo; Miguel González Duque; Viacheslav Borovitskiy; Tamim Asfour (CoRR, 2022)

Isotropic Gaussian Processes on Finite Spaces of Graphs. - Viacheslav Borovitskiy; Mohammad Reza Karimi; Vignesh Ram Somnath; Andreas Krause 001 (AISTATS, 2023)

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. - Iskander Azangulov; Andrei Smolensky; Alexander Terenin; Viacheslav Borovitskiy (CoRR, 2023)

Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. - Paul Rosa; Viacheslav Borovitskiy; Alexander Terenin; Judith Rousseau (CoRR, 2023)

Implicit Manifold Gaussian Process Regression. - Bernardo Fichera; Viacheslav Borovitskiy; Andreas Krause 001; Aude Billard (CoRR, 2023)

Intrinsic Gaussian Vector Fields on Manifolds. - Daniel Robert-Nicoud; Andreas Krause 001; Viacheslav Borovitskiy (AISTATS, 2024)

Hodge-Compositional Edge Gaussian Processes. - Maosheng Yang; Viacheslav Borovitskiy; Elvin Isufi (AISTATS, 2024)

Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. - Noémie Jaquier; Leonel Rozo; Miguel González Duque; Viacheslav Borovitskiy; Tamim Asfour (ICML, 2024)

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)

Residual Deep Gaussian Processes on Manifolds. - Kacper Wyrwal; Andreas Krause 001; Viacheslav Borovitskiy (ICLR, 2025)

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. - Colin Doumont; Victor Picheny; Viacheslav Borovitskiy; Henry B. Moss (CoRR, 2025)