| Probabilistic ODE solvers with Runge-Kutta means M Schober, DK Duvenaud, P Hennig Advances in Neural Information Processing Systems, 739-747, 2014 | 119 | 2014 |
| A probabilistic model for the numerical solution of initial value problems M Schober, S Särkkä, P Hennig Statistics and Computing, 2018 | 82 | 2018 |
| 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 | 42 | 2019 |
| Temporal time-of-flight A Adam, S Nowozin, O Yair, S Mazor, M Schober US Patent App. 15/015,065, 2017 | 41 | 2017 |
| 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 | 32 | 2014 |
| Resnet after all: Neural odes and their numerical solution K Ott, P Katiyar, P Hennig, M Tiemann International Conference on Learning Representations, 2020 | 31 | 2020 |
| 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 | 22 | 2020 |
| 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 | 18 | 2015 |
| GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver D John, V Heuveline, M Schober International Conference on Machine Learning, 3152-3162, 2019 | 16 | 2019 |
| 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 | 13 | 2017 |
| When are Neural ODE Solutions Proper ODEs? K Ott, P Katiyar, P Hennig, M Tiemann arXiv preprint arXiv:2007.15386, 2020 | 10 | 2020 |
| Bayesian Filtering for ODEs with Bounded Derivatives E Magnani, H Kersting, M Schober, P Hennig arXiv preprint arXiv:1709.08471, 2017 | 9 | 2017 |
| 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 | 3 | 2016 |
| Symplectic Gaussian Process Dynamics K Ensinger, F Solowjow, M Tiemann, S Trimpe arXiv preprint arXiv:2102.01606, 2021 | 1 | 2021 |
| Probabilistic Ordinary Differential Equation Solvers-Theory and Applications M Schober Universität Tübingen, 2019 | 1 | 2019 |
| 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 | | |
Philipp HennigUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
