Towards Smart Factory: Multi-Agent Integration on Industrial Standards for Service-oriented Communication and Semantic Data Exchange. - Ronald Rosendahl; Ambra Calà; Konstantin Kirchheim; Arndt Lüder; Nikolai D'Agostino (WOA, 2018)

Model-based generation of run-time data collection systems exploiting AutomationML. - Alexandra Mazak; Arndt Lüder; Sabine Wolny; Manuel Wimmer; Dietmar Winkler 001; Konstantin Kirchheim; Ronald Rosendahl; Hessamedin Bayanifar; Stefan Biffl (Autom., 2018)

Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration. - Arndt Lüder; Konstantin Kirchheim; Johanna-Lisa Pauly; Stefan Biffl; Felix Rinker; Laura Waltersdorfer (INDIN, 2019)

Multi-disciplinary Engineering of Production Systems - Challenges for Quality of Control Software. - Arndt Lüder; Johanna-Lisa Pauly; Konstantin Kirchheim (SWQD, 2019)

PyTorch-OOD: A Library for Out-of-Distribution Detection based on PyTorch. - Konstantin Kirchheim; Marco Filax; Frank Ortmeier (CVPR Workshops, 2022)

Multi-Class Hypersphere Anomaly Detection. - Konstantin Kirchheim; Marco Filax; Frank Ortmeier (ICPR, 2022)

Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR). - Bertrand Kerautret; Konstantin Kirchheim; Daniel P. Lopresti; Phuc Ngo 001; Paulina Tomaszewska (RRPR, 2022)

On Challenging Aspects of Reproducibility in Deep Anomaly Detection. - Konstantin Kirchheim; Marco Filax; Frank Ortmeier (RRPR, 2022)

Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection. - Konstantin Kirchheim; Tim Gonschorek; Frank Ortmeier (CoRR, 2022)

Towards Transformer-based Homogenization of Satellite Imagery for Landsat-8 and Sentinel-2. - Venkatesh Thirugnana Sambandham; Konstantin Kirchheim; Sayan Mukhopadhaya; Frank Ortmeier (CoRR, 2022)

Measuring the Robustness of ML Models Against Data Quality Issues in Industrial Time Series Data. - Marcel Dix; Gianluca Manca; Kenneth Chigozie Okafor; Reuben Borrison; Konstantin Kirchheim; Divyasheel Sharma; Chandrika K. R.; Deepti Maduskar; Frank Ortmeier (INDIN, 2023)

Towards Deep Anomaly Detection with Structured Knowledge Representations. - Konstantin Kirchheim (SAFECOMP Workshops, 2023)

Evaluating and Increasing Segmentation Robustness in CARLA. - Venkatesh Thirugnana Sambandham; Konstantin Kirchheim; Frank Ortmeier (SAFECOMP Workshops, 2023)

Out-of-Distribution Detection with Logical Reasoning (Extended Abstract). - Konstantin Kirchheim; Tim Gonschorek; Frank Ortmeier (KI, 2024)

Language Models as Reasoners for Out-of-Distribution Detection. - Konstantin Kirchheim; Frank Ortmeier (SAFECOMP (Workshops), 2024)

Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain. - Marc Zeller; Thomas Waschulzik; Carmen Cârlan; Marat Serahlazau; Claus Bahlmann; Zhiliang Wu; Sigurd Spieckermann; Denis Krompass; Simon Geerkens; Christian Sieberichs; Konstantin Kirchheim; Batu Kaan Özen; et al. (SAFECOMP (Workshops), 2024)

Out-of-Distribution Detection with Logical Reasoning. - Konstantin Kirchheim; Tim Gonschorek; Frank Ortmeier (WACV, 2024)

Out-of-Distribution Detection with Adversarial Outlier Exposure. - Thomas Botschen; Konstantin Kirchheim; Frank Ortmeier (CVPR Workshops, 2025)

Improving Out-of-Distribution Detection with Markov Logic Networks. - Konstantin Kirchheim; Frank Ortmeier (CoRR, 2025)