Expressing uncertainty in neural networks for production systems. - Samim Ahmad Multaheb; Bernd Zimmering; Oliver Niggemann (Autom., 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)

Machine Learning for Cyber-Physical Systems. - Oliver Niggemann; Bernd Zimmering; Henrik S. Steude; Jan Lukas Augustin; Alexander Windmann; Samim Ahmad Multaheb (Digital Transformation, 2022)

Anomaly Detection with Autoencoders as a Tool for Detecting Sensor Malfunctions. - Artur Liebert; Wolfgang Weber 004; Sebastian Reif; Bernd Zimmering; Oliver Niggemann (ICPS, 2022)

Enhancing Nonlinear Electrical Circuit Modeling with Prior Knowledge-Infused Neural ODEs. - Bernd Zimmering; Jan-Philipp Roche; Oliver Niggemann (ETFA, 2024)

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)

Laplace-Net: Learning Dynamical Systems with External Forcing. - Bernd Zimmering; Cecília Coelho; Vaibhav Gupta; Maria Maleshkova; Oliver Niggemann (CoRR, 2025)