Calibrated adaptive probabilistic ODE solvers N Bosch, P Hennig, F Tronarp International Conference on Artificial Intelligence and Statistics, 3466-3474, 2021 | 27 | 2021 |
ProbNum: Probabilistic Numerics in Python J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ... arXiv preprint arXiv:2112.02100, 2021 | 17 | 2021 |
Probabilistic ODE solutions in millions of dimensions N Krämer*, N Bosch*, J Schmidt*, P Hennig International Conference on Machine Learning, 11634-11649, 2022 | 16 | 2022 |
Fenrir: Physics-Enhanced Regression for Initial Value Problems F Tronarp*, N Bosch*, P Hennig International Conference on Machine Learning, 21776--21794, 2022 | 10 | 2022 |
Pick-and-mix information operators for probabilistic ODE solvers N Bosch, F Tronarp, P Hennig International Conference on Artificial Intelligence and Statistics, 10015-10027, 2022 | 9 | 2022 |
Probabilistic Exponential Integrators N Bosch, P Hennig, F Tronarp Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Planning from Images with Deep Latent Gaussian Process Dynamics N Bosch*, J Achterhold*, L Leal-Taixé, J Stückler Learning for Dynamics and Control, 640-650, 2020 | 1 | 2020 |
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations J Beck, N Bosch, M Deistler, KL Kadhim, JH Macke, P Hennig, P Berens arXiv preprint arXiv:2402.12231, 2024 | | 2024 |
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control A Lahr, F Tronarp, N Bosch, J Schmidt, P Hennig, MN Zeilinger Proceedings of Machine Learning Research 424, 2024 | | 2024 |
Parallel-in-Time Probabilistic Numerical ODE Solvers N Bosch, A Corenflos, F Yaghoobi, F Tronarp, P Hennig, S Särkkä arXiv preprint arXiv:2310.01145, 2023 | | 2023 |
Evolutionary Games for Global Function Minimization N Bosch Master's Thesis @ TUM, 2018 | | 2018 |