research
∙
11/15/2022
Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
Paleoclimatology – the study of past climate – is relevant beyond climat...
share
research
∙
12/03/2021
ProbNum: Probabilistic Numerics in Python
Probabilistic numerical methods (PNMs) solve numerical problems via prob...
research
∙
02/15/2021
High-Dimensional Gaussian Process Inference with Derivatives
Although it is widely known that Gaussian processes can be conditioned o...
research
∙
02/12/2021
Bayesian Quadrature on Riemannian Data Manifolds
Riemannian manifolds provide a principled way to model nonlinear geometr...
research
∙
10/21/2019
Integrals over Gaussians under Linear Domain Constraints
Integrals of linearly constrained multivariate Gaussian densities are a ...
research
∙
03/27/2019
