The GeometricKernels Package: Heat and Matérn Kernels for Geometric
Learning on Manifolds, Meshes, and Graphs

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs

10 July 2024

Vincent Dutordoir

Noémie Jaquier

Michael John Hutchinson

Alexander Terenin

Viacheslav Borovitskiy

Papers citing "The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs"

8 / 8 papers shown

Title
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation Zihao Chen Wenyong Wang Jiachen Yang Yu Xiang 14 0 0 07 May 2025
Riemann $^2$ : Learning Riemannian Submanifolds from Riemannian Data Leonel Rozo Miguel González-Duque Noémie Jaquier Søren Hauberg 39 1 0 07 Mar 2025
Bayesian Optimal Experimental Design for Robot Kinematic Calibration Ersin Daş Thomas Touma J. W. Burdick 20 0 0 17 Sep 2024
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport Isaac Reid Stratis Markou Krzysztof Choromanski Richard E. Turner Adrian Weller 16 1 0 26 May 2024
Invariant kernels on the space of complex covariance matrices Cyrus Mostajeran Salem Said 16 1 0 28 Mar 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 32 14 0 30 Jan 2023
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds Noémie Jaquier Leonel Rozo Miguel González-Duque Viacheslav Borovitskiy Tamim Asfour 38 7 0 04 Oct 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 31 21 0 31 Aug 2022