Follow
Hans Kersting
Hans Kersting
Postdoc, SIERRA Team, INRIA Paris
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Active uncertainty calibration in Bayesian ODE solvers
H Kersting, P Hennig
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016
482016
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
F Tronarp, H Kersting, S Särkkä, P Hennig
Statistics and Computing 29 (6), 1297-1315, 2019
462019
Convergence rates of Gaussian ODE filters
H Kersting, TJ Sullivan, P Hennig
Statistics and computing 30 (6), 1791-1816, 2020
302020
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
172020
Bayesian Filtering for ODEs with bounded derivatives
E Magnani, H Kersting, M Schober, P Hennig
arXiv preprint arXiv:1709.08471, 2017
82017
A Fourier state space model for Bayesian ODE filters
H Kersting, M Mahsereci
arXiv preprint arXiv:2007.09118, 2020
52020
Anticorrelated noise injection for improved generalization
A Orvieto, H Kersting, F Proske, F Bach, A Lucchi
arXiv preprint arXiv:2202.02831, 2022
32022
Probabilistic Numerics
P Hennig, MA Osborne, HP Kersting
Cambridge University Press, 2022
12022
Uncertainty-Aware Numerical Solutions of ODEs by Bayesian Filtering
H Kersting
Eberhard Karls Universität Tübingen, 2021
12021
Mean first exit times of Ornstein-Uhlenbeck processes in high-dimensional spaces
H Kersting, A Orvieto, F Proske, A Lucchi
arXiv preprint arXiv:2208.04029, 2022
2022
Explicit Regularization in Overparametrized Models via Noise Injection
A Orvieto, A Raj, H Kersting, F Bach
arXiv preprint arXiv:2206.04613, 2022
2022
ODE Filters–Forward and Backward
H Kersting
2021
Probabilistic Numerics
MA Osborne, HP Kersting
The system can't perform the operation now. Try again later.
Articles 1–13