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Jonathan  Schmidt
Jonathan Schmidt
Masters Student in Machine Learning, University of Tübingen
Verified email at uni-tuebingen.de
Title
Cited by
Cited by
Year
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
182021
Probabilistic ODE Solutions in Millions of Dimensions
N Krämer, N Bosch, J Schmidt, P Hennig
arXiv preprint arXiv:2110.11812, 2021
132021
ProbNum: Probabilistic Numerics in Python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
112021
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
N Krämer, J Schmidt, P Hennig
arXiv preprint arXiv:2110.11847, 2021
112021
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
72019
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
42023
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
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