| Year | Publication Venue | Title | Authors | Project |
|---|---|---|---|---|
| 2024 | Proceedings of the 38th AAAI Conference on Artificial Intelligence | Peer Learning: Learning Complex Policies from Scratch via Action Recommendations. | Derstroff, Cerrato, Bruegger, Kramer | |
| 2024 | Proceedings of the ICML 2024 | Differentially Private Sum-Product Networks | Heilmann, Cerrato, Althaus | Teilprojekt 2 fairness vs privacy |
| 2024 | KI- Künstliche Intelligenz, Springer Verlag | Comprehensible Extraction of Knowledge Bases for Learning Agents in Games | Apeldoorn, Daan | Teilprojekt 6 transparency vs. privacy |
| 2024 | GMS Med Inform Biom Epidemiol 2024;20:Doc10 | Transfer von Ergebnissen aus dem Gebiet der KI in Spielen ... | Apeldoorn, Daan | Teilprojekt 6 transparency vs. privacy |
| 2023 | Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 37 No. 6 | Invariant Representations with Stochastically Quantized Neural Networks | Cerrato, M., Köppel, M., Esposito, R., Kramer, St. | Teilprojekt 1 interpretability vs. fairness |
| 2023 | Studies in Health Technology and Informatics Buchreihe / Journal (GMDS 2023) | Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research. | Thevapalan, A., Apeldoorn, D., Kern-Isberner, G., Meyer, R. G., Nietzke, M., Panholzer, T. | Teilprojekt 6 transparency vs. privacy |
| 2023 | Isprs - International Journal of Geo-Information | Geospatial XAI: A Review | Roussel, C., Böhm, K. | Hochschule Mainz, KI-Lab |
| 2023 | Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF 2023) | The Case for Correctability in Fair Machine Learning | Cerrato, M., Vallenas Coronel, A., Köppel, M. | Teilprojekt 1 fairness vs. interpretability |
| 2023 | Proceedings of the 26th International Conference on Discovery Science (DS 2023) | Privacy-Preserving Learning of Random Forests without Revealing the Trees | Bammert, L.M., Kramer S., Cerrato M., Althaus E. | Teilprojekt 2 privacy vs. fairness |