Jonathan Schmidt

According to our database, Jonathan Schmidt authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spatiotemporally Coherent Probabilistic Generation of Weather from Climate.

Jonathan Schmidt, Luca Schmidt, Felix Strnad, Nicole Ludwig, Philipp Hennig

CoRR, 2024

Probabilistic ODE solvers for integration error-aware numerical optimal control.

Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions.

Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Probabilistic ODE Solutions in Millions of Dimensions.

Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig

Proceedings of the International Conference on Machine Learning, 2022

Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations.

Nicholas Krämer, Jonathan Schmidt, Philipp Hennig

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

ProbNum: Probabilistic Numerics in Python.

Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig

CoRR, 2021

A Probabilistic State Space Model for Joint Inference from Differential Equations and Data.

Jonathan Schmidt, Nicholas Krämer, Philipp Hennig

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021