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Journal Articles
- 2019
[j1]Michael Schober
, Simo Särkkä, Philipp Hennig:
A probabilistic model for the numerical solution of initial value problems. Stat. Comput. 29(1): 99-122 (2019)
Conference and Workshop Papers
- 2019
- [c6]Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. AISTATS 2019: 1506-1515 - [c5]David John, Vincent Heuveline, Michael Schober:
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver. ICML 2019: 3152-3162 - 2017
- [c4]Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin:
Dynamic Time-of-Flight. CVPR 2017: 170-179 - 2015
- [c3]Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen:
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. MICCAI (1) 2015: 597-604 - 2014
- [c2]Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg:
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. MICCAI (3) 2014: 265-272 - [c1]Michael Schober, David Duvenaud, Philipp Hennig:
Probabilistic ODE Solvers with Runge-Kutta Means. NIPS 2014: 739-747
Informal and Other Publications
- 2019
- [i4]Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. CoRR abs/1901.07229 (2019) - 2017
- [i3]Emilia Magnani, Hans Kersting, Michael Schober, Philipp Hennig:
Bayesian Filtering for ODEs with Bounded Derivatives. CoRR abs/1709.08471 (2017) - 2016
- [i2]Michael Schober, Simo Särkkä, Philipp Hennig:
A probabilistic model for the numerical solution of initial value problems. CoRR abs/1610.05261 (2016) - 2014
- [i1]Michael Schober, David Duvenaud, Philipp Hennig:
Probabilistic ODE Solvers with Runge-Kutta Means. CoRR abs/1406.2582 (2014)
Coauthor Index
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