| Private Homepage | https://www.uni-muenster.de/Informatik.AGBraun/ |
| Research Interests | Statistical relational artificial intelligence, specifically, probabilistic inference (probability- as well as decision-theoretic) in relational domains Human-aware AI, specifically, inference in human-aware agents Text understanding, specifically, annotations and context representations |
| Current Talks | • Compression vs. Accuracy: Compact Models for Efficiency and Interpretation. Tutorial at the IJCAI-ECAI-26 35th International Joint Conference on Artificial Intelligence - 29th European Conference on Artificial Intelligence, Bremen Slides Link to event • Variable Elimination for Forgetting in Probabilistic Graphical Models - A Work in Progress. Workshop on Modularity and Splitting Techniques for Knowledge Representation and Reasoning (MoST 2026) at the 9th Federated Logic Conference (FLoC 2026), Lisbon Link to event • The ABC of Forgetting in PGMs: Aspects, Benefits, and Challenges. 3rd Logic and AI Meet-up, Hagen Slides • Variable Elimination as a Form of Forgetting in (Lifted) Probabilistic Graphical Models. 2nd Logic and AI Meet-up, Hagen • Exploiting Structure in Decision Making under the Lens of Recent Advances in StaRAI. KI-24 47th German Conference on Artificial Intelligence, Würzburg Slides Link to event • What Can Explainability Mean for Probabilistic Inference?. sAIOnARA 2024 (Conference on Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches), Bielefeld Slides Link to event • Forgetting In Lifted Models and Reasoning In Search of Solutions. 1st Logic and AI Meet-up, Hagen • What’s Intelligence Got To Do With It? An Introduction into Artificial Intelligence Research. Grand Rounds - Interdisziplinäres Klinikcurriculum, University Hospital Münster, Department of Mental Health Slides • Let's Talk about Palm Leaves - From Minimal Data to Text Understanding. 46th German Conference on Artificial Intelligence, 26-29 September 2023, Berlin, Germany, Berlin Slides Link to event |
| Current Publications | • Marwitz, Florian; Braun, Tanya; Möller, Ralf; Gehrke, Marcel Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions. AAMAS-26 Proceedings of the 25th International Conference on Autonomous Agents and Multi-Agent Systems, 2026 online • Pouls, Kevin; Hamid, Sagad; Sensmeier, Leonard; Eiling, Fabian; Menne, Jan; Oehme, Mathias; Pfeifer, Max; Ridder, Fabian; Tepe, Mika; Braun, Tanya Towards Unsupervised Anomaly Detection and Clustering of Defects in Electrode Surface Inspection. Proceedings of the 20th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2026, 2026 online • Luttermann, Malte; Braun, Tanya; Möller, Ralf; Gehrke, Marcel Lifted Causal Inference. Annals of Mathematics and Artificial Intelligence Vol. S806, 2026 online • Braun, Tanya; Gehrke, Marcel; Sauerwald, Kai; Speller, Jan Variable Elimination for Forgetting in Probabilistic Graphical Models - A Work in Progress. Joint proceedings of the Workshop on Theory and Methods for Abstraction (THEMA 2026) and the Workshop on Modularity and Splitting Techniques for Knowledge Representation and Reasoning (MoST 2026) at the 9th Federated Logic Conference (FLoC 2026), 2026 online • Karabulut, Nazlı Nur; Braun, Tanya Indistinguishable Agents in Decentralised POMDPs. Informal proceedings of the LAMAS&SR-26 Workshop on Logical Aspects of Multi-Agent Systems and Strategic Reasoning 2026, 2026 online • Hamid, Sagad; Lee, Dohoo; Kong, Myeong; Braun, Tanya; Yoo, Jaemin A Probabilistic Circuit Framework for Interpretable Graph PU Learning. UAI-26 Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, 2026 online • Luttermann, Malte; Speller, Jan; Gehrke, Marcel; Braun, Tanya; Möller, Ralf; Hartwig, Mattis Approximate Lifted Model Construction. IJCAI-25 Proceedings of the 34th International Joint Conference on Artificial Intelligence, 2025 online • Hamid, Sagad; Braun, Tanya Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference - A Work In Progress. , 2025 online • Speller, Jan; Luttermann, Malte; Gehrke, Marcel; Braun, Tanya Compression versus Accuracy: A Hierarchy of Lifted Models. ECAI-25 Proceedings of the 28th European Conference on Artificial Intelligence Vol. Volume 413, 2025 online |
| Current Projects | • HAPPI - Human-aware PGMs and Probabilistic Inference via Lifted Model Reconciliation Bei diesem Projekt geht es darum, die Kommunikation zwischen KI-Systemen und Menschen zu verbessern. In KI-basierten Systemen werden häufig Modelle aus Daten gelernt. Diese Modelle können zwar auch Wissen von Expertinnen und Experten beinhalten, sind aber häufig durch die gelernten Informationen aus den Daten nicht mehr einfach zu erklären. In dem Projekt wird dort angesetzt, indem Methoden erforscht werden, wie solche gelernten Modelle mit den Erwartungen von Expertinnen und Experten in Übereinstimmung gebracht werden können und Mensch und System sich gegenseitig ihre Wissenslücken erklären können. Auf lange Sicht sollen diese Systeme zum Beispiel in Medizin oder Geisteswissenschaften ihre Vorschläge erklären können. | tanya dot braun at uni-muenster dot de |
| Phone | +49 251 83-38417 |
| Room | 609 |
| Secretary | Sekretariat Steinhoff Frau Gerlinde Steinhoff Telefon +49 251 83-38447 Zimmer 602 |
| Address | JProf. Tanya Braun Institut für Informatik Fachbereich Mathematik und Informatik der Universität Münster Einsteinstrasse 62 48149 Münster Deutschland |
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