Efficient enumeration of markov equivalent dags M Wienöbst, M Luttermann, M Bannach, M Liskiewicz Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12313 …, 2023 | 8 | 2023 |
Automated computation of therapies using failure mode and effects analysis in the medical domain M Luttermann, E Baake, J Bouchagiar, B Gebel, P Grüning, ... KI-Künstliche Intelligenz, 1-13, 2024 | 4 | 2024 |
Colour passing revisited: lifted model construction with commutative factors M Luttermann, T Braun, R Möller, M Gehrke Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20500 …, 2024 | 4 | 2024 |
Efficient Detection of Exchangeable Factors in Factor Graphs M Luttermann, J Machemer, M Gehrke arXiv preprint arXiv:2403.10167, 2024 | 2 | 2024 |
AutoRAG: grounding text and symbols T Schulz, M Luttermann, R Möller KI-Künstliche Intelligenz, 1-15, 2024 | 1 | 2024 |
Lifted Causal Inference in Relational Domains M Luttermann, M Hartwig, T Braun, R Möller, M Gehrke Causal Learning and Reasoning, 827-842, 2024 | 1 | 2024 |
Lifting Factor Graphs with Some Unknown Factors M Luttermann, R Möller, M Gehrke European Conference on Symbolic and Quantitative Approaches with Uncertainty …, 2023 | 1 | 2023 |
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models M Luttermann, R Möller, M Hartwig German Conference on Artificial Intelligence (Künstliche Intelligenz), 175-189, 2024 | | 2024 |
Efficient Detection of Commutative Factors in Factor Graphs M Luttermann, J Machemer, M Gehrke arXiv preprint arXiv:2407.16280, 2024 | | 2024 |
Practical Algorithms for Orientations of Partially Directed Graphical Models M Luttermann, M Wienöbst, M Liskiewicz Conference on Causal Learning and Reasoning, 259-280, 2023 | | 2023 |