Matérn Gaussian processes on Riemannian manifolds

17 June 2020

Viacheslav Borovitskiy

Papers citing "Matérn Gaussian processes on Riemannian manifolds"

30 / 30 papers shown

Title
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems Xizhuo Zhang AI4CE 29 0 0 26 Apr 2025
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 49 0 0 31 Oct 2024
On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds Luis Augenstein Noémie Jaquier Tamim Asfour Leonel Rozo 26 0 0 28 Oct 2024
Bayesian Optimal Experimental Design for Robot Kinematic Calibration Ersin Daş Thomas Touma J. W. Burdick 32 0 0 17 Sep 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds Moritz Korte-Stapff Toni Karvonen Eric Moulines 29 0 0 31 Dec 2023
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 25 1 0 30 Oct 2023
Implicit Manifold Gaussian Process Regression Bernardo Fichera Viacheslav Borovitskiy Andreas Krause A. Billard 18 3 0 30 Oct 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds Paul Rosa Viacheslav Borovitskiy Alexander Terenin Judith Rousseau 30 7 0 19 Sep 2023
Actually Sparse Variational Gaussian Processes Harry Jake Cunningham Daniel Augusto R. M. A. de Souza So Takao Mark van der Wilk M. Deisenroth 29 5 0 11 Apr 2023
Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite Siran Li 18 3 0 12 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics Mu Niu Zhenwen Dai P. Cheung Yizhu Wang 21 5 0 16 Jan 2023
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 28 1 0 21 Dec 2022
Transductive Kernels for Gaussian Processes on Graphs Yin-Cong Zhi Felix L. Opolka Yin Cheng Ng Pietro Lio Xiaowen Dong 19 0 0 28 Nov 2022
Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy Mohammad Reza Karimi Vignesh Ram Somnath Andreas Krause 35 7 0 03 Nov 2022
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 39 21 0 31 Aug 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Adjoint-aided inference of Gaussian process driven differential equations Paterne Gahungu Christopher W. Lanyon Mauricio A. Alvarez Engineer Bainomugisha M. Smith Richard D. Wilkinson 26 5 0 09 Feb 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification Lia Gander Simone Pezzuto A. Gharaviri Rolf Krause P. Perdikaris F. Sahli Costabal 13 13 0 15 Dec 2021
Non-separable Spatio-temporal Graph Kernels via SPDEs A. Nikitin S. T. John Arno Solin Samuel Kaski AI4TS 25 17 0 16 Nov 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 29 35 0 02 Nov 2021
Geometry-Aware Hierarchical Bayesian Learning on Manifolds Yonghui Fan Yalin Wang 18 2 0 30 Oct 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 28 20 0 27 Oct 2021
Nonnegative spatial factorization F. W. Townes Barbara E. Engelhardt 16 11 0 12 Oct 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 42 49 0 27 Dec 2020
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 18 57 0 08 Nov 2020
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 13 78 0 29 Oct 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 22 31 0 12 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 13 34 0 09 Jun 2020