Viacheslav Borovitskiy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Gaussian Process

Top Venues

J. Mach. Learn. Res.

Publications

Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy
Intrinsic Gaussian Vector Fields on Manifolds. AISTATS (2024)
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
Hodge-Compositional Edge Gaussian Processes. AISTATS (2024)
Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR (2024)
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
Hodge-Compositional Edge Gaussian Processes. CoRR (2023)
Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause
Isotropic Gaussian Processes on Finite Spaces of Graphs. AISTATS (2023)
Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. CoRR (2023)
Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin, Judith Rousseau
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. CoRR (2023)
Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy
Intrinsic Gaussian Vector Fields on Manifolds. CoRR (2023)
Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard
Implicit Manifold Gaussian Process Regression. CoRR (2023)
Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case. CoRR (2022)
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko
Quadric Hypersurface Intersection for Manifold Learning in Feature Space. AISTATS (2022)
Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause
Isotropic Gaussian Processes on Finite Spaces of Graphs. CoRR (2022)
Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR (2022)
Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande
Matérn Gaussian Processes on Graphs. AISTATS (2021)
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeny Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko
Quadric hypersurface intersection for manifold learning in feature space. CoRR (2021)
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRL (2021)
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. NeurIPS (2021)
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Pathwise Conditioning of Gaussian Processes. J. Mach. Learn. Res. 22 (2021)
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels. CoRR (2021)
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR (2021)
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Efficiently sampling functions from Gaussian process posteriors. CoRR (2020)
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Pathwise Conditioning of Gaussian Processes. CoRR (2020)
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Matern Gaussian processes on Riemannian manifolds. CoRR (2020)
Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande
Matern Gaussian Processes on Graphs. CoRR (2020)
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Efficiently sampling functions from Gaussian process posteriors. ICML (2020)
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
Matérn Gaussian Processes on Riemannian Manifolds. NeurIPS (2020)