Viacheslav Borovitskiy Postdoctoral Fellow External Website viacheslav.borovitskiy@gmail.com viacheslav.borovitskiy@inf.ethz.ch CAB E 63 I am interested in mathematically rich topics in ML—please find more on my website! Research keywords: Gaussian processes, geometry-aware models, learning theory, Bayesian methods, spatial statistics, harmonic analysis, manifolds, graphs. Be most welcome to reach out if you are interested in my research or have questions! Publications 2024 Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds N. Jaquier, L. Rozo, M. González-Duque, V. Borovitskiy, T. AsfourIn Proc. International Conference on Machine Learning (ICML), 2024[bibtex] [abstract] [pdf] Intrinsic Gaussian Vector Fields on Manifolds D. Robert-Nicoud, A. Krause, V. BorovitskiyIn International Conference on Artificial Intelligence and Statistics (AISTATS), 2024[bibtex] [abstract] [pdf] Hodge-Compositional Edge Gaussian Processes M. Yang, V. Borovitskiy, E. IsufiIn International Conference on Artificial Intelligence and Statistics (AISTATS), 2024[bibtex] [abstract] [pdf] Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov, A. Smolensky, A. Terenin, V. BorovitskiyIn Journal of Machine Learning Research, 2024[bibtex] [abstract] [pdf] 2023 Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds P. Rosa, V. Borovitskiy, A. Terenin, J. RousseauIn Proc. Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] [pdf] Implicit Manifold Gaussian Process Regression B. Fichera, V. Borovitskiy, A. Krause, A. BillardIn Proc. Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] [pdf] Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres K. Wyrwal, V. BorovitskiyNeurIPS Workshop: Adaptive Experimental Design and Active Learning in the Real World, 2023[bibtex] [abstract] [pdf] Isotropic Gaussian Processes on Finite Spaces of Graphs V. Borovitskiy, M. R. Karimi, V. R. Somnath, A. KrauseIn Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), PMLR, volume 206, 2023[bibtex] [abstract] [pdf] Bayesian optimization for demographic inference E. Noskova, V. BorovitskiyIn G3: Genes, Genomes, Genetics, Oxford University Press, volume 13, 2023[bibtex] [abstract] [pdf]
