Hans Kersting
Hans Kersting
PhD Student, Max Planck Institute for Intelligent Systems
Verified email at tue.mpg.de - Homepage
Cited by
Cited by
Active uncertainty calibration in Bayesian ODE solvers
H Kersting, P Hennig
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016
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
Convergence rates of Gaussian ODE filters
H Kersting, TJ Sullivan, P Hennig
Statistics and Computing, 1-26, 2020
Differentiable Likelihoods for Fast Inversion of'Likelihood-Free'Dynamical Systems
H Kersting, N Krämer, M Schiegg, C Daniel, M Tiemann, P Hennig
arXiv preprint arXiv:2002.09301, 2020
Bayesian filtering for ODEs with bounded derivatives
E Magnani, H Kersting, M Schober, P Hennig
arXiv preprint arXiv:1709.08471, 2017
A Fourier state space model for Bayesian ODE filters
H Kersting, M Mahsereci
arXiv preprint arXiv:2007.09118, 2020
The system can't perform the operation now. Try again later.
Articles 1–6