Neuro-mechanistic Modeling

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1. 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.

2. Christopher Lohse; Jonas Wahl

   Sortability of Time Series Data

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

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. Joshua Meyer; Alexander Rath; Ömercan Yazici; Philipp Slusallek

   MARS: Multi-sample Allocation through Russian roulette and Splitting

   In: SIGGRAPH Asia 2024 Conference Papers. ACM SiggraphAsia (SigAsia-2024), December 3-6, Tokyo, Japan, SA '24 (SA '24), ISBN 9798400711312, Association for Computing Machinery, New York, NY, USA, 12/2024.

9. Bernd Finkbeiner; Felix Jahn; Julian Siber

   Counterfactual Explanations for MITL Violations

   In: Siddharth Barman; Slawomir Lasota (Hrsg.). 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024). IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS-2024), December 16-18, Pages 22:1-22:25, Leibniz International Proceedings in Informatics (LIPIcs), Vol. 323, ISBN 978-3-95977-355-3, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 12/2024.

10. Deborah Baum; Kevin Baum; Sasha Zamani; Christian Bennoit; Dirk Werth

    Transparent Transparency Developing a Scheme for Understanding Transparency Requirements

    In: Bernhard Steffen (Hrsg.). Bridging the Gap Between AI and Reality - Second International Conference, Proceedings. International Conference on Bridging the Gap between AI and Reality (AiSoLA-2024), October 30 - November 3, Crete, Greece, Pages 55-73, Lecture Notes in Computer Science (LNCS), Vol. 15217, ISBN 978-3-031-75433-3, Springer, Cham, 12/2024.

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