Jonas Ehrhardt

According to our database, Jonas Ehrhardt authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

HAI-CPPS: The Hamburg AI Benchmark for Cyber-Physical Production Sytems.

Jonas Ehrhardt, Lukas Moddemann, Alexander Diedrich, Oliver Niggemann

Dataset, July, 2025

The HAI-CPPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces.

Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

Creating Virtual Sensors Using Neural Networks.

Björn Ludwig, Jonas Ehrhardt, Oliver Niggemann

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study.

Richard Jaufmann, Niklas Widulle, Jonas Ehrhardt, Daniel Vranjes, Oliver Niggemann

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

Learning Sound and Complete Preconditions in Complex Real-World Domains.

René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces.

Jonas Ehrhardt, Johannes Schmidt, René Heesch, Oliver Niggemann

Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

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

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

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

A Lazy Approach to Neural Numerical Planning with Control Parameters.

René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract).

René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

2023

Diagnosis driven Anomaly Detection for CPS.

Henrik S. Steude, Lukas Moddemann, Alexander Diedrich, Jonas Ehrhardt, Oliver Niggemann

CoRR, 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

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems.

René Heesch, Jonas Ehrhardt, Oliver Niggemann

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

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

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

An AI benchmark for Diagnosis, Reconfiguration & Planning.

Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities.

Jonas Ehrhardt, Timo Spinde, Ali Vardasbi, Felix Hamborg

Proceedings of the Information between Data and Knowledge: Information Science and its Neighbors from Data Science to Digital Humanities, 2021