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Michael Schober

3 accepted papers

2019

Fast and Robust Shortest Paths on Manifolds Learned from Data

AISTATS 2019poster

We propose a fast, simple and robust algorithm for computing shortest paths and distances on Riemannian manifolds learned from data. This amounts to solving a system of ordinary differential equations (ODEs) subject to boundary conditions. Here standard solvers perform poorly because they require we…

Cited by 51SourcePDFScholar
2019

GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver

ICML 2019oral

There are two types of ordinary differential equations (ODEs): initial value problems (IVPs) and boundary value problems (BVPs). While many probabilistic numerical methods for the solution of IVPs have been presented to-date, there exists no efficient probabilistic general-purpose solver for nonline…

Cited by 15SourcePDFScholar