Implicit manifold Gaussian process regression
Gaussian process regression is widely used because of its ability to provide well-calibrated
uncertainty estimates and handle small or sparse datasets. However, it struggles with high …
uncertainty estimates and handle small or sparse datasets. However, it struggles with high …
The GeometricKernels Package: Heat and Mat\'ern Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
P Mostowsky, V Dutordoir, I Azangulov… - arXiv preprint arXiv …, 2024 - arxiv.org
Kernels are a fundamental technical primitive in machine learning. In recent years, kernel-
based methods such as Gaussian processes are becoming increasingly important in …
based methods such as Gaussian processes are becoming increasingly important in …