A Probabilistic State Space Model for Joint Inference from Differential Equations and Data J Schmidt, N Krämer, P Hennig arXiv preprint arXiv:2103.10153, 2021 | 26 | 2021 |
Probabilistic ODE Solutions in Millions of Dimensions N Krämer, N Bosch, J Schmidt, P Hennig arXiv preprint arXiv:2110.11812, 2021 | 19 | 2021 |
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations N Krämer, J Schmidt, P Hennig arXiv preprint arXiv:2110.11847, 2021 | 17 | 2021 |
ProbNum: Probabilistic Numerics in Python J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ... arXiv preprint arXiv:2112.02100, 2021 | 16 | 2021 |
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions J Schmidt, P Hennig, J Nick, F Tronarp arXiv preprint arXiv:2306.07774, 2023 | 12 | 2023 |
Executable State Machines Derived from Structured Textual Requirements-Connecting Requirements and Formal System Design. B Walter, J Martin, J Schmidt, H Dettki, S Rudolph MODELSWARD, 193-200, 2019 | 7 | 2019 |
Probabilistic ODE Solvers for Integration Error-Aware Model Predictive Control A Lahr, F Tronarp, N Bosch, J Schmidt, P Hennig, MN Zeilinger arXiv preprint arXiv:2401.17731, 2024 | | 2024 |