Jonathan Schmidt

According to our database, Jonathan Schmidt authored at least 12 papers between 1978 and 2023.

Collaborative distances:

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

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

LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels.

Jonathan Schmidt, Qadeer Khan, Daniel Cremers

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Machine learning the derivative discontinuity of density-functional theory.

Johannes Gedeon, Jonathan Schmidt, Matthew J. P. Hodgson, Jack Wetherell, Carlos L. Benavides-Riveros, Miguel A. L. Marques

Mach. Learn. Sci. Technol., 2022

Large-scale machine-learning-assisted exploration of the whole materials space.

Jonathan Schmidt, Noah Hoffmann, Haichen Wang, Pedro Borlido, Pedro J. M. A. Carriço, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques

CoRR, 2022

Machine Learning guided high-throughput search of non-oxide garnets.

Jonathan Schmidt, Haichen Wang, Georg Schmidt, Miguel Marques

CoRR, 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

2019

Executable State Machines Derived from Structured Textual Requirements - Connecting Requirements and Formal System Design.

Benedikt Walter, Jan Martin, Jonathan Schmidt, Hanna Dettki, Stephan Rudolph

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development, 2019

2006

Dynamic Port 25 Blocking to Control SPAM Zombies.

Jonathan Schmidt

Proceedings of the CEAS 2006, 2006

1978

Small systems performance in business (Panel Session).

Ted G. Lewis, Percy Wood, Jonathan Schmidt, Stuart E. Savory, Dale Johnson, Patricia A. Carr

Proceedings of the first SIGMINI symposium on Small systems, 1978