Jonathan Schmidt

Publication Activity (10 Years)

Years Active: 1978-2023
Publications (10 Years): 15

Top Topics

Vehicle Navigation

Joint Inference

High Dimensions

Top Venues

Mach. Learn. Sci. Technol.

Publications

Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions. CoRR (2023)
Jonathan Schmidt, Qadeer Khan, Daniel Cremers
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. ITSC (2023)
Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions. NeurIPS (2023)
Jonathan Schmidt, Qadeer Khan, Daniel Cremers
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. CoRR (2023)
Nicholas Krämer, Jonathan Schmidt, Philipp Hennig
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations. AISTATS (2022)
Johannes Gedeon, Jonathan Schmidt, Matthew J. P. Hodgson, Jack Wetherell, Carlos L. Benavides-Riveros, Miguel A. L. Marques
Machine learning the derivative discontinuity of density-functional theory. Mach. Learn. Sci. Technol. 3 (1) (2022)
Jonathan Schmidt, Noah Hoffmann, Haichen Wang, Pedro Borlido, Pedro J. M. A. Carriço, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques
Large-scale machine-learning-assisted exploration of the whole materials space. CoRR (2022)
Jonathan Schmidt, Haichen Wang, Georg Schmidt, Miguel Marques
Machine Learning guided high-throughput search of non-oxide garnets. CoRR (2022)
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
Probabilistic ODE Solutions in Millions of Dimensions. ICML (2022)
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
ProbNum: Probabilistic Numerics in Python. CoRR (2021)
Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data. NeurIPS (2021)
Nicholas Krämer, Jonathan Schmidt, Philipp Hennig
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations. CoRR (2021)
Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data. CoRR (2021)
Nicholas Krämer, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig
Probabilistic ODE Solutions in Millions of Dimensions. CoRR (2021)
Benedikt Walter, Jan Martin, Jonathan Schmidt, Hanna Dettki, Stephan Rudolph
Executable State Machines Derived from Structured Textual Requirements - Connecting Requirements and Formal System Design. MODELSWARD (2019)
Jonathan Schmidt
Dynamic Port 25 Blocking to Control SPAM Zombies. CEAS (2006)
Ted G. Lewis, Percy Wood, Jonathan Schmidt, Stuart E. Savory, Dale Johnson, Patricia A. Carr
Small systems performance in business (Panel Session). SIGMINI (1978)