Viacheslav Borovitskiy

34 papers A* 5A 5Misc 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Scattering: A Principled Baseline for Uncertainty on Image Data. CoRR Bernardo Fichera, Zarko Ivkovic, Kjell Jorner, Philipp Hennig, Viacheslav Borovitskiy
2025	J	`jnl`	Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. CoRR Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry B. Moss
2025	A*	`conf`	Residual Deep Gaussian Processes on Manifolds. ICLR Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy
2025	J	`jnl`	The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. J. Mach. Learn. Res. Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
2024	A*	`conf`	Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. ICML Noémie Jaquier, Leonel Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
2024	A	`conf`	Hodge-Compositional Edge Gaussian Processes. AISTATS Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
2024	A	`conf`	Intrinsic Gaussian Vector Fields on Manifolds. AISTATS Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy
2024	J	`jnl`	Residual Deep Gaussian Processes on Manifolds. CoRR Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy
2024	J	`jnl`	Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case. J. Mach. Learn. Res. Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
2024	J	`jnl`	Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. J. Mach. Learn. Res. Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
2024	J	`jnl`	The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
2023	J	`jnl`	Hodge-Compositional Edge Gaussian Processes. CoRR Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
2023	J	`jnl`	Implicit Manifold Gaussian Process Regression. CoRR Bernardo Fichera, Viacheslav Borovitskiy, Andreas Krause, Aude Billard
2023	J	`jnl`	Intrinsic Gaussian Vector Fields on Manifolds. CoRR Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy
2023	A	`conf`	Isotropic Gaussian Processes on Finite Spaces of Graphs. AISTATS Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause
2023	J	`jnl`	Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. CoRR Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin, Judith Rousseau
2023	J	`jnl`	Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces. CoRR Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
2022	J	`jnl`	Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour
2022	J	`jnl`	Isotropic Gaussian Processes on Finite Spaces of Graphs. CoRR Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause
2022	A	`conf`	Quadric Hypersurface Intersection for Manifold Learning in Feature Space. AISTATS Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko
2022	J	`jnl`	Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case. CoRR Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
2021	Misc	`conf`	Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRL Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
2021	J	`jnl`	Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
2021	A	`conf`	Matérn Gaussian Processes on Graphs. AISTATS Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande
2021	J	`jnl`	Pathwise Conditioning of Gaussian Processes. J. Mach. Learn. Res. James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
2021	J	`jnl`	Quadric hypersurface intersection for manifold learning in feature space. CoRR Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko
2021	J	`jnl`	Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels. CoRR Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
2021	A*	`conf`	Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. NeurIPS Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
2020	A*	`conf`	Efficiently sampling functions from Gaussian process posteriors. ICML James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
2020	J	`jnl`	Efficiently sampling functions from Gaussian process posteriors. CoRR James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
2020	J	`jnl`	Matern Gaussian Processes on Graphs. CoRR Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande
2020	J	`jnl`	Matern Gaussian processes on Riemannian manifolds. CoRR Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
2020	A*	`conf`	Matérn Gaussian Processes on Riemannian Manifolds. NeurIPS Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth
2020	J	`jnl`	Pathwise Conditioning of Gaussian Processes. CoRR James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth