Bernd Zimmering

According to our database, Bernd Zimmering authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Laplace-Net: Learning Dynamical Systems with External Forcing.

Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann

CoRR, March, 2025

A Fluid Mixing Benchmark for Anomaly Detection in CPS With Real and Simulated Data.

Malte Ramonat, Bernd Zimmering, Silke Merkelbach, Felix Gehlhoff, Oliver Niggemann, Alexander Fay

IEEE Access, 2025

Breaking Free: Decoupling Forced Systems with Laplace Neural Networks.

Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Optimising Neural Fractional Differential Equations for Performance and Efficiency.

Bernd Zimmering, Cecília Coelho, Oliver Niggemann

Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2024

A Neural Ordinary Differential Equations Approach for 2D Flow Properties Analysis of Hydraulic Structures.

Sebastian Eilermann, Lisa Lüddecke, Michael Hohmann, Bernd Zimmering, Mario Oertel, Oliver Niggemann

Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2024

Enhancing Nonlinear Electrical Circuit Modeling with Prior Knowledge-Infused Neural ODEs.

Bernd Zimmering, Jan-Philipp Roche, Oliver Niggemann

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2022

Anomaly Detection with Autoencoders as a Tool for Detecting Sensor Malfunctions.

Artur Liebert, Wolfgang Weber, Sebastian Reif, Bernd Zimmering, Oliver Niggemann

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Machine Learning for Cyber-Physical Systems.

Oliver Niggemann, Bernd Zimmering, Henrik S. Steude, Jan Lukas Augustin, Alexander Windmann, Samim Ahmad Multaheb

Proceedings of the Digital Transformation, 2022

2021

Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods.

Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer

Sensors, 2021

Expressing uncertainty in neural networks for production systems.

Samim Ahmad Multaheb, Bernd Zimmering, Oliver Niggemann

Autom., 2021