Matérn Gaussian processes on Riemannian manifolds

Matérn Gaussian processes on Riemannian manifolds

17 June 2020

Viacheslav Borovitskiy

Alexander Terenin

Papers citing "Matérn Gaussian processes on Riemannian manifolds"

17 / 17 papers shown

Title
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems Xizhuo Zhang AI4CE 47 0 0 26 Apr 2025
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 76 0 0 31 Oct 2024
Bayesian Optimal Experimental Design for Robot Kinematic Calibration Ersin Daş Thomas Touma J. W. Burdick 72 0 0 17 Sep 2024
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 45 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 16 41 0 22 Apr 2020
Efficiently Sampling Functions from Gaussian Process Posteriors James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 36 163 0 21 Feb 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 50 54 0 11 Oct 2019
Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces Ernesto De Vito Nicole Mücke Lorenzo Rosasco 16 27 0 27 May 2019
Gaussian Process Landmarking on Manifolds Tingran Gao S. Kovalsky Ingrid Daubechies 36 39 0 09 Feb 2018
$Numerical solution of fractional elliptic stochastic PDEs with spatial white noise$ Numerical solution of fractional elliptic stochastic PDEs with spatial white noise David Bolin Kristin Kirchner M. Kovács 43 75 0 18 May 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 48 200 0 21 Nov 2016
Modeling and interpolation of the ambient magnetic field by Gaussian processes Arno Solin Manon Kok Niklas Wahlström Thomas B. Schon Simo Särkkä 22 118 0 15 Sep 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 88 688 0 10 Feb 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen F. Lauze Søren Hauberg BDL 38 144 0 02 Nov 2014
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 133 215 0 21 Jan 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 80 1,226 0 26 Sep 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012