Follow
Michael Tiemann (né Schober)
Michael Tiemann (né Schober)
Research scientist, Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Probabilistic ODE solvers with Runge-Kutta means
M Schober, DK Duvenaud, P Hennig
Advances in Neural Information Processing Systems, 739-747, 2014
1022014
A probabilistic model for the numerical solution of initial value problems
M Schober, S Särkkä, P Hennig
Statistics and Computing, 2018
602018
Temporal time-of-flight
A Adam, S Nowozin, O Yair, S Mazor, M Schober
US Patent App. 15/015,065, 2017
302017
Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers
M Schober, N Kasenburg, A Feragen, P Hennig, S Hauberg
International Conference on Medical Image Computing and Computer-Assisted …, 2014
292014
Fast and robust shortest paths on manifolds learned from data
G Arvanitidis, S Hauberg, P Hennig, M Schober
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
222019
A random Riemannian metric for probabilistic shortest-path tractography
S Hauberg, M Schober, M Liptrot, P Hennig, A Feragen
International Conference on Medical Image Computing and Computer-Assisted …, 2015
182015
Differentiable likelihoods for fast inversion of’likelihood-free’dynamical systems
H Kersting, N Krämer, M Schiegg, C Daniel, M Tiemann, P Hennig
International Conference on Machine Learning, 5198-5208, 2020
162020
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
D John, V Heuveline, M Schober
International Conference on Machine Learning, 3152-3162, 2019
152019
Dynamic Time-of-Flight
M Schober, A Adam, O Yair, S Mazor, S Nowozin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
122017
Resnet after all: Neural odes and their numerical solution
K Ott, P Katiyar, P Hennig, M Tiemann
International Conference on Learning Representations, 2020
92020
When are Neural ODE Solutions Proper ODEs?
K Ott, P Katiyar, P Hennig, M Tiemann
arXiv preprint arXiv:2007.15386, 2020
82020
Bayesian Filtering for ODEs with Bounded Derivatives
E Magnani, H Kersting, M Schober, P Hennig
arXiv preprint arXiv:1709.08471, 2017
82017
Contributed Discussion on Article by Chkrebtii, Campbell, Calderhead, and Girolami
FX Briol, J Cockayne, O Teymur, WW Yoo, M Schober, P Hennig
Bayesian Analysis 11 (4), 1285-1293, 2016
32016
Probabilistic Ordinary Differential Equation Solvers-Theory and Applications
M Schober
Universität Tübingen, 2019
12019
Symplectic Gaussian Process Dynamics
K Ensinger, F Solowjow, M Tiemann, S Trimpe
arXiv preprint arXiv:2102.01606, 2021
2021
Supplementary Materials for “Dynamic Time-of-Flight”
M Schober, A Adam, O Yair, S Mazor, S Nowozin
Using label metrics for Distance Metric Learning
M Schober
Camera-specific Image Denoising
M Schober
The system can't perform the operation now. Try again later.
Articles 1–18