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On power sum kernels on symmetric groups


Nov 10, 2022
Iskander Azangulov, Viacheslav Borovitskiy, Andrei Smolensky


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Isotropic Gaussian Processes on Finite Spaces of Graphs


Nov 03, 2022
Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause


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Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds


Oct 04, 2022
Noémie Jaquier, Leonel Rozo, Miguel González-Duque, Viacheslav Borovitskiy, Tamim Asfour


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Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case


Aug 31, 2022
Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy


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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels


Nov 25, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

* Advances in Neural Information Processing Systems, 2021 

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Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels


Nov 02, 2021
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo

* Published in the Conference on Robot Learning (CoRL) 2021. Source code: https://github.com/NoemieJaquier/MaternGaBO . Video: https://youtu.be/6awfFRqP7wA 

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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels


Oct 28, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

* Advances in Neural Information Processing Systems, 2021 

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Quadric hypersurface intersection for manifold learning in feature space


Feb 11, 2021
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeny Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko


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Pathwise Conditioning of Gaussian Processes


Nov 08, 2020
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth


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