Jonathan Schmidt

13 papers A* 3A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning.
CoRR
Felix Strnad, Jonathan Schmidt, Fabian Mockert, Philipp Hennig, Nicole Ludwig
2024 J jnl
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control.
CoRR
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 — conf
Probabilistic ODE solvers for integration error-aware numerical optimal control.
L4DC
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 J jnl
Spatiotemporally Coherent Probabilistic Generation of Weather from Climate.
CoRR
Jonathan Schmidt, Luca Schmidt, Felix Strnad, Nicole Ludwig, Philipp Hennig
2023 A* conf
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions.
NeurIPS
Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
2023 J jnl
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions.
CoRR
Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
2022 A conf
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations.
AISTATS
Nicholas Krämer, Jonathan Schmidt, Philipp Hennig
2022 A* conf
Probabilistic ODE Solutions in Millions of Dimensions.
ICML
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
2021 A* conf
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data.
NeurIPS
Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
2021 J jnl
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data.
CoRR
Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
2021 J jnl
ProbNum: Probabilistic Numerics in Python.
CoRR
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
2021 J jnl
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations.
CoRR
Nicholas Krämer, Jonathan Schmidt, Philipp Hennig
2021 J jnl
Probabilistic ODE Solutions in Millions of Dimensions.
CoRR
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig