Stationary Kernels and Gaussian Processes on Lie Groups and their
Homogeneous Spaces I: the compact case

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case

31 August 2022

Alexander Terenin

Viacheslav Borovitskiy

Papers citing "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case"

17 / 17 papers shown

Title
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 76 0 0 31 Oct 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 50 14 0 30 Jan 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy Mohammad Reza Karimi Vignesh Ram Somnath Andreas Krause 57 7 0 03 Nov 2022
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 52 36 0 02 Nov 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 45 20 0 27 Oct 2021
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 43 59 0 08 Nov 2020
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 32 80 0 29 Oct 2020
Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry Ke Ye Mu Niu P. Cheung Zhenwen Dai Yuan Liu 24 2 0 25 Jun 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 71 122 0 17 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 47 32 0 12 Jun 2020
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity Sam Coveney C. Corrado C. Roney D. O'Hare Steven E. Williams M. OÑeill Steven Niederer R. Clayton J. Oakley Richard D. Wilkinson 25 41 0 22 Apr 2020
Efficiently Sampling Functions from Gaussian Process Posteriors James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 41 163 0 21 Feb 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 55 54 0 11 Oct 2019
Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces Ernesto De Vito Nicole Mücke Lorenzo Rosasco 34 27 0 27 May 2019
Intrinsic Gaussian processes on complex constrained domains Mu Niu P. Cheung Lizhen Lin Zhenwen Dai Neil D. Lawrence David B. Dunson 43 41 0 03 Jan 2018
Exact heat kernel on a hypersphere and its applications in kernel SVM Chenchao Zhao Jun S. Song 37 17 0 05 Feb 2017
Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen F. Lauze Søren Hauberg BDL 41 144 0 02 Nov 2014