Hans Kersting
Hans Kersting
Research Scientist, Yahoo Research
Zweryfikowany adres z yahooinc.com - Strona główna
Cytowane przez
Cytowane przez
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, 1297-1315, 2019
Convergence rates of Gaussian ODE filters
H Kersting, TJ Sullivan, P Hennig
Statistics and computing 30 (6), 1791-1816, 2020
Probabilistic Numerics: Computation as Machine Learning
P Hennig, MA Osborne, HP Kersting
Cambridge University Press, 2022
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
Anticorrelated noise injection for improved generalization
A Orvieto, H Kersting, F Proske, F Bach, A Lucchi
International Conference on Machine Learning, 17094-17116, 2022
Bayesian Filtering for ODEs with bounded derivatives
E Magnani, H Kersting, M Schober, P Hennig
arXiv preprint arXiv:1709.08471, 2017
Explicit regularization in overparametrized models via noise injection
A Orvieto, A Raj, H Kersting, F Bach
International Conference on Artificial Intelligence and Statistics, 7265-7287, 2023
A Fourier state space model for Bayesian ODE filters
H Kersting, M Mahsereci
arXiv preprint arXiv:2007.09118, 2020
On the Theoretical Properties of Noise Correlation in Stochastic Optimization
A Lucchi, F Proske, A Orvieto, F Bach, H Kersting
arXiv preprint arXiv:2209.09162, 2022
Uncertainty-Aware Numerical Solutions of ODEs by Bayesian Filtering
H Kersting
Eberhard Karls Universität Tübingen, 2021
Mean first exit times of Ornstein–Uhlenbeck processes in high-dimensional spaces
H Kersting, A Orvieto, F Proske, A Lucchi
Journal of Physics A: Mathematical and Theoretical 56 (21), 215003, 2023
An SDE for Modeling SAM: Theory and Insights
EM Compagnoni, A Orvieto, L Biggio, H Kersting, FN Proske, A Lucchi
arXiv preprint arXiv:2301.08203, 2023
Batch size selection by stochastic optimal control
J Zhao, A Lucchi, FN Proske, A Orvieto, H Kersting
Has it Trained Yet? NeurIPS 2022 Workshop, 2022
An SDE for Modeling SAM: Theory and Insights
E Monzio Compagnoni, A Orvieto, L Biggio, H Kersting, FN Proske, ...
arXiv e-prints, arXiv: 2301.08203, 2023
ODE Filters–Forward and Backward
H Kersting
Probabilistic Numerics
MA Osborne, HP Kersting
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