research
∙
09/19/2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Gaussian processes are used in many machine learning applications that r...
share
research
∙
01/30/2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
Gaussian processes are arguably the most important class of spatiotempor...
research
∙
11/10/2022
On power sum kernels on symmetric groups
In this note, we introduce a family of "power sum" kernels and the corre...
research
∙
11/03/2022
Isotropic Gaussian Processes on Finite Spaces of Graphs
We propose a principled way to define Gaussian process priors on various...
research
∙
10/04/2022
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds
Robotic taxonomies have appeared as high-level hierarchical abstractions...
research
∙
08/31/2022
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case
Gaussian processes are arguably the most important model class in spatia...
research
∙
11/02/2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
Bayesian optimization is a data-efficient technique which can be used fo...
research
∙
10/27/2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Gaussian processes are machine learning models capable of learning unkno...
research
∙
02/11/2021
Quadric hypersurface intersection for manifold learning in feature space
The knowledge that data lies close to a particular submanifold of the am...
research
∙
11/08/2020
Pathwise Conditioning of Gaussian Processes
As Gaussian processes are integrated into increasingly complex problem s...
research
∙
10/29/2020
Matern Gaussian Processes on Graphs
Gaussian processes are a versatile framework for learning unknown functi...
research
∙
06/17/2020
Matern Gaussian processes on Riemannian manifolds
Gaussian processes are an effective model class for learning unknown fun...
research
∙
02/21/2020