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Dive into the research topics where Viacheslav Borovitskiy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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The GeometricKernels package: Heat and Matérn kernels for geometric learning on manifolds, meshes, and graphs
Mostowsky, P., Dutordoir, V., Azangulov, I., Jaquier, N., Hutchinson, M. J., Ravuri, A., Rozo, L., Terenin, A. & Borovitskiy, V., 1 Dec 2025, In: Journal of Machine Learning Research. 26, p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Omnipresent yet overlooked: Heat kernels in combinatorial Bayesian optimization
Doumont, C., Picheny, V., Borovitskiy, V. & Moss, H., 18 Sept 2025, (Accepted/In press) Proceedings of the 39th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation (NeurIPS), p. 1-39 39 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Residual deep Gaussian processes on manifolds
Wyrwal, K., Krause, A. & Borovitskiy, V., 28 Apr 2025, The Thirteenth International Conference on Learning Representations: ICLR 2025. ICLR, p. 49939-49964 26 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Stationary kernels and Gaussian processes on Lie groups and their homogeneous spaces I: The compact case
Azangulov, I., Smolensky, A., Terenin, A. & Borovitskiy, V., 1 Aug 2024, In: Journal of Machine Learning Research. 25, p. 1-52 52 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Stationary kernels and Gaussian processes on Lie groups and their homogeneous spaces II: Non-compact symmetric spaces
Azangulov, I., Smolensky, A., Terenin, A. & Borovitskiy, V., 1 Aug 2024, In: Journal of Machine Learning Research. 25, p. 1-51 51 p.Research output: Contribution to journal › Article › peer-review
Open Access