Implicit Gaussian process representation of vector fields over arbitrary latent manifolds

28 September 2023

Papers citing "Implicit Gaussian process representation of vector fields over arbitrary latent manifolds"

6 / 6 papers shown

Title
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P. Mostowsky Vincent Dutordoir I. Azangulov Noémie Jaquier Michael John Hutchinson Aditya Ravuri Leonel Rozo Alexander Terenin Viacheslav Borovitskiy 40 5 0 10 Jul 2024
Implicit Manifold Gaussian Process Regression Bernardo Fichera Viacheslav Borovitskiy Andreas Krause A. Billard 18 3 0 30 Oct 2023
Intrinsic Gaussian Vector Fields on Manifolds Daniel Robert-Nicoud Andreas Krause Viacheslav Borovitskiy 26 5 0 28 Oct 2023
Interpretable statistical representations of neural population dynamics and geometry Adam Gosztolai Robert L. Peach Alexis Arnaudon Mauricio Barahona P. Vandergheynst 17 8 0 06 Apr 2023
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016