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ORCIDViacheslav Borovitskiy
Person information
- affiliation: University of Edinburgh, UK
- affiliation (2022 - 2025): ETH Zurich, Switzerland
- affiliation (PhD 2022): Russian Academy of Sciences, St. Petersburg Department of Steklov Mathematical Institute, Russia
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2020 – today
- 2026
[i21]Bernardo Fichera, Zarko Ivkovic, Kjell Jorner, Philipp Hennig, Viacheslav Borovitskiy:
Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data. CoRR abs/2603.20908 (2026)- [i20]Dmitry Eremeev, Salem Said, Viacheslav Borovitskiy:
Heat and Matérn Kernels on Matchings. CoRR abs/2604.14331 (2026) - [i19]Pedro C. Vieira, Pedro Ribeiro, Viacheslav Borovitskiy:
Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks? CoRR abs/2605.22593 (2026) - 2025
- [j4]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. J. Mach. Learn. Res. 26: 276:1-276:14 (2025) - [c14]Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy:
Residual Deep Gaussian Processes on Manifolds. ICLR 2025 - [c13]Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry B. Moss:
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. NeurIPS 2025 - [i18]Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry B. Moss:
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. CoRR abs/2510.26633 (2025) - 2024
- [j3]Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy:
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case. J. Mach. Learn. Res. 25: 280:1-280:52 (2024) - [j2]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. J. Mach. Learn. Res. 25: 281:1-281:51 (2024) - [c12]Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy:
Intrinsic Gaussian Vector Fields on Manifolds. AISTATS 2024: 1306-1314 - [c11]Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi:
Hodge-Compositional Edge Gaussian Processes. AISTATS 2024: 3754-3762 - [c10]Noémie Jaquier, Leonel Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. ICML 2024: 21373-21409 - [i17]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 abs/2407.08086 (2024) - [i16]Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy:
Residual Deep Gaussian Processes on Manifolds. CoRR abs/2411.00161 (2024) - 2023
- [c9]Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause
:
Isotropic Gaussian Processes on Finite Spaces of Graphs. AISTATS 2023: 4556-4574 - [c8]Bernardo Fichera, Slava Borovitskiy, Andreas Krause, Aude Gemma Billard:
Implicit Manifold Gaussian Process Regression. NeurIPS 2023 - [c7]Paul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau:
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. NeurIPS 2023 - [i15]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 abs/2301.13088 (2023) - [i14]Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin, Judith Rousseau:
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. CoRR abs/2309.10918 (2023) - [i13]Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy:
Intrinsic Gaussian Vector Fields on Manifolds. CoRR abs/2310.18824 (2023) - [i12]Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard:
Implicit Manifold Gaussian Process Regression. CoRR abs/2310.19390 (2023) - [i11]Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi:
Hodge-Compositional Edge Gaussian Processes. CoRR abs/2310.19450 (2023) - 2022
- [c6]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: 10999-11013 - [i10]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 abs/2208.14960 (2022) - [i9]Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR abs/2210.01672 (2022) - [i8]Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause:
Isotropic Gaussian Processes on Finite Spaces of Graphs. CoRR abs/2211.01689 (2022) - 2021
- [j1]James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Pathwise Conditioning of Gaussian Processes. J. Mach. Learn. Res. 22: 105:1-105:47 (2021) - [c5]Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande:
Matérn Gaussian Processes on Graphs. AISTATS 2021: 2593-2601 - [c4]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: 794-805 - [c3]Michael J. 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: 17160-17169 - [i7]Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko:
Quadric hypersurface intersection for manifold learning in feature space. CoRR abs/2102.06186 (2021) - [i6]Michael J. 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 abs/2110.14423 (2021) - [i5]Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR abs/2111.01460 (2021) - 2020
- [c2]James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Efficiently sampling functions from Gaussian process posteriors. ICML 2020: 10292-10302 - [c1]Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Matérn Gaussian Processes on Riemannian Manifolds. NeurIPS 2020 - [i4]James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Efficiently sampling functions from Gaussian process posteriors. CoRR abs/2002.09309 (2020) - [i3]Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Matern Gaussian processes on Riemannian manifolds. CoRR abs/2006.10160 (2020) - [i2]Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande:
Matern Gaussian Processes on Graphs. CoRR abs/2010.15538 (2020) - [i1]James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Pathwise Conditioning of Gaussian Processes. CoRR abs/2011.04026 (2020)
Coauthor Index
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