Borovitskiy, Viacheslav

16 publications

NeurIPS 2025 Omnipresent yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry Moss

ICLR 2025 Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy

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

AISTATS 2024 Hodge-Compositional Edge Gaussian Processes Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi

AISTATS 2024 Intrinsic Gaussian Vector Fields on Manifolds Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy

JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and Their Homogeneous Spaces I: The Compact Case Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy

JMLR 2024 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

AISTATS 2023 Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause

NeurIPSW 2023 Residual Deep Gaussian Processes on Manifolds for Geometry-Aware Bayesian Optimization on Hyperspheres Kacper Wyrwal, Viacheslav Borovitskiy

AISTATS 2022 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 2021 Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Deisenroth, Nicolas Durrande

CoRL 2021 Geometry-Aware Bayesian Optimization in Robotics Using Riemannian Matérn Kernels Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo

JMLR 2021 Pathwise Conditioning of Gaussian Processes James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

NeurIPS 2021 Vector-Valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee W. Teh, Marc Deisenroth

ICML 2020 Efficiently Sampling Functions from Gaussian Process Posteriors James Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Deisenroth

NeurIPS 2020 Matérn Gaussian Processes on Riemannian Manifolds Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Deisenroth