Neuro-mechanistische Modellierung

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1. Kevin Baum

   Utilitarismus und das Problem kollektiven Handelns

   In: Vuko Andrić; Bernward Gesang (Hrsg.). Handbuch Utilitarismus. Pages 163-176, Springer-Verlag, 2026.

2. Sabine Janzen; Kanav Avasthi; Behkam Fallah; Hannah Stein; Wolfgang Maaß

   Risk‑Optimized Mobility through Graph‑Based Prediction

   In: Proceedings of International Conference on Conceptual Modeling. International Conference on Conceptual Modeling (ER-2025), 10/2025.

3. Timo P. Gros; Arnd Hartmanns; Ivo Hoese; Joshua Meyer; Nicola Müller; Verena Wolf

   PyDSMC: Statistical Model Checking for Neural Agents Using the Gymnasium Interface

   In: Pavithra Prabhakar; Andrea Vandin (Hrsg.). Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems - Second International Joint Conference, Proceedings. International Joint Conference on Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems (QEST+FORMATS-2025), August 26-28, Aarhus, Denmark, Pages 134-156, Lecture Notes in Computer Science (LNCS), Vol. 16143, ISBN 978-3-032-05791-4, Springer Nature, Switzerland, 10/2025.

4. P. Timo Gros; David Groß; Julius Kamp; Stefan Gumhold; Jörg Hoffmann

   Visual Analysis of Action Policy Behavior: A Case Study in Grid-World Driving

   In: World Conference on Explainable Artificial Intelligence. xAI: World Conference on Explainable Artificial Intelligence (xAI-2025), July 9-11, Istanbul, Turkey, Springer Berlin Heidelberg, Heidelberg, 10/2025.

5. Christopher Lohse; Jonas Wahl

   Sortability of Time Series Data

   In: Adam Arany (Hrsg.). Transactions on Machine Learning Research (TMLR), 7/2025.

6. Jonas Wahl; Jakob Runge

   Separation-Based Distance Measures for Causal Graphs

   In: Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2025), May 3-5, Mai Khao, Thailand, Pages 3412-3420, PMLR, Vol. 258, Proceedings of Machine Learning Research, 2025.

7. Nadine Schlicker; Kevin Baum; Alarith Ude; Sarah Sterz; Martin C. Hirsch; Markus Langer

   How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM)

   In: Matthieu J. Guitton (Hrsg.). Computers in Human Behavior, Vol. 170, Pages 1-19, Elsevier, 2025.

8. Timo P. Gros; Nicola Müller; Daniel Fiser; Isabel Valera; Verena Wolf; Jörg Hoffmann

   Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior

   In: The 35th International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2025), November 9-14, Melbourne, Australia, AAAI Press, 2025.

9. Rebecca J Herman; Jonas Wahl; Urmi Ninad; Jakob Runge

   Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery

   In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025), Pages 1506-1531, PMLR, Vol. 275, MLResearchPress, 2025.

10. Philippe Brouillard; Chandler Squires; Jonas Wahl; Konrad Körding; Karen Sachs; Alexandre Drouin; Dhanya Sridhar

    The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications

    In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Conference on Causal Learning and Reasoning (CLeaR-2025), Pages 834-873, Vol. 275, MLResearchPress, 2025.

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