Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities. - Jonas Ehrhardt; Timo Spinde; Ali Vardasbi; Felix Hamborg (ISI, 2021)

An AI benchmark for Diagnosis, Reconfiguration & Planning. - Jonas Ehrhardt; Malte Ramonat; René Heesch; Kaja Balzereit; Alexander Diedrich; Oliver Niggemann (ETFA, 2022)

Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. - Jonas Ehrhardt; René Heesch; Oliver Niggemann (ECAI Workshops (2), 2023)

Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems. - René Heesch; Jonas Ehrhardt; Oliver Niggemann (ECAI Workshops (2), 2023)

Using FliPSi to Generate Data for Machine Learning Algorithms. - Artur Liebert; Christian Wittke; Jonas Ehrhardt; Richard Jaufmann; Niklas Widulle; Sebastian Eilermann; Maria Krantz; Oliver Niggemann (ETFA, 2023)

Diagnosis driven Anomaly Detection for CPS. - Henrik S. Steude; Lukas Moddemann; Alexander Diedrich; Jonas Ehrhardt; Oliver Niggemann (CoRR, 2023)

Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract). - René Heesch; Alessandro Cimatti; Jonas Ehrhardt; Alexander Diedrich; Oliver Niggemann (DX, 2024)

Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. - Daniel Vranjes; Jonas Ehrhardt; René Heesch; Lukas Moddemann; Henrik Sebastian Steude; Oliver Niggemann (DX, 2024)

A Lazy Approach to Neural Numerical Planning with Control Parameters. - René Heesch; Alessandro Cimatti; Jonas Ehrhardt; Alexander Diedrich; Oliver Niggemann (ECAI, 2024)

Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. - Jonas Ehrhardt; Phillip Johann Overlöper; Daniel Vranjes; Henrik S. Steude; Alexander Diedrich; Oliver Niggemann (ETFA, 2024)

AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24. - Oliver Niggemann; Gautam Biswas; Alexander Diedrich; Jonas Ehrhardt; René Heesch; Niklas Widulle (CoRR, 2024)