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Viacheslav Borovitskiy
Viacheslav Borovitskiy
Other namesViacheslav A. Borovitskiy, Viacheslav Borovitckii
Postdoctoral Fellow at ETH Zürich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Efficiently sampling functions from Gaussian process posteriors
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
International Conference on Machine Learning, 10292-10302, 2020
1772020
Matérn Gaussian processes on Riemannian manifolds
V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
Advances in Neural Information Processing Systems 33, 2020
1392020
Matérn Gaussian Processes on Graphs
V Borovitskiy, I Azangulov, A Terenin, P Mostowsky, M Deisenroth, ...
International Conference on Artificial Intelligence and Statistics, 2593-2601, 2021
1062021
Pathwise Conditioning of Gaussian Processes
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
Journal of Machine Learning Research 22 (105), 1-47, 2021
642021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
N Jaquier, V Borovitskiy, A Smolensky, A Terenin, T Asfour, L Rozo
5th Annual Conference on Robot Learning, 2021
392021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
M Hutchinson, A Terenin, V Borovitskiy, S Takao, YW Teh, MP Deisenroth
Advances in Neural Information Processing Systems 34, 2021
282021
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
I Azangulov, A Smolensky, A Terenin, V Borovitskiy
Journal of Machine Learning Research 25 (280), 1-52, 2024
212024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
I Azangulov, A Smolensky, A Terenin, V Borovitskiy
Journal of Machine Learning Research 25 (281), 1-51, 2024
132024
Isotropic Gaussian Processes on Finite Spaces of Graphs
V Borovitskiy, MR Karimi, VR Somnath, A Krause
International Conference on Artificial Intelligence and Statistics, 4556-4574, 2023
82023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
P Rosa, V Borovitskiy, A Terenin, J Rousseau
Advances in Neural Information Processing Systems, 2023
72023
Hodge-Compositional Edge Gaussian Processes
M Yang, V Borovitskiy, E Isufi
International Conference on Artificial Intelligence and Statistics, 2024
62024
K-Closedness for Weighted Hardy Spaces on the Torus 𝕋2
VA Borovitskiy
Journal of Mathematical Sciences 234 (3), 282-289, 2018
5*2018
Intrinsic Gaussian Vector Fields on Manifolds
D Robert-Nicoud, A Krause, V Borovitskiy
International Conference on Artificial Intelligence and Statistics, 2024
32024
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
N Jaquier, L Rozo, M González-Duque, V Borovitskiy, T Asfour
International Conference on Machine Learning, 2024
3*2024
Bayesian optimization for demographic inference
E Noskova, V Borovitskiy
G3: Genes, Genomes, Genetics 13 (7), jkad080, 2023
32023
Implicit Manifold Gaussian Process Regression
B Fichera, V Borovitskiy, A Krause, A Billard
Advances in Neural Information Processing Systems, 2023
32023
Burkholder meets Gundy: Bellman function method for general operators on martingales
V Borovitskiy, NN Osipov, A Tselishchev
Advances in Mathematics 410, 108746, 2022
2*2022
Boolean Spectral Analysis in Categorical Reservoir Modeling
N Ismagilov, V Borovitskiy, M Lifshits, M Platonova
Mathematical Geosciences, 1-20, 2021
22021
Weighted Littlewood–Paley inequality for arbitrary rectangles in ℝ²
V Borovitskiy
St. Petersburg Mathematical Journal 32 (6), 975-997, 2021
22021
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
P Mostowsky, V Dutordoir, I Azangulov, N Jaquier, MJ Hutchinson, ...
arXiv preprint arXiv:2407.08086, 2024
12024
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Articles 1–20