Jan Speller, Malte Luttermann, Marcel Gehrke, Tanya Braun. (2025). "Compression versus Accuracy: A Hierarchy of Lifted Models." Proceedings of the Twenty-Eighth European Conference on Artificial Intelligence (ECAI-2025). IOS Press, Volume 413, pages 5051-5058.
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Jan Speller, Malte Luttermann, Marcel Gehrke, Tanya Braun. (2025). "Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective." Proceedings of the First Joint Workshop on Humanities-Centered Artificial Intelligence and Formal & Cognitive Reasoning (CHAI-2025 and FCR-2025) co-located with 48th German Conference on Artificial Intelligence (KI-2025). CEUR, pages 41-56.
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Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig. (2025). "Approximate Lifted Model Construction." Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-2025). IJCAI Organization, Volume 34, pages 9077-9085.
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Malte Luttermann, Ralf Möller, Marcel Gehrke. (2025). "Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs." Proceedings of the Third Learning on Graphs Conference (LoG-2024). PMLR, Volume 269, pages 46:1-46:17.
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Malte Luttermann, Ralf Möller, Marcel Gehrke. (2025). "Lifting Factor Graphs with Some Unknown Factors for New Individuals." International Journal of Approximate Reasoning (2025). Elsevier, Volume 179.
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Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke. (2024). "Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs." Proceedings of the Sixteenth International Conference on Scalable Uncertainty Management (SUM-2024). Springer, Volume 15350, pages 265-280.
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Malte Luttermann, Johann Machemer, Marcel Gehrke. (2024). "Efficient Detection of Commutative Factors in Factor Graphs." Proceedings of the Twelfth International Conference on Probabilistic Graphical Models (PGM-2024). PMLR, Volume 246, pages 38-56.
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Malte Luttermann, Ralf Möller, Mattis Hartwig. (2024). "Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models." Proceedings of the Forty-Seventh German Conference on Artificial Intelligence (KI-2024). Springer, Volume 14992, pages 175-189.
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Tim Schulz, Malte Luttermann, Ralf Möller. (2024). "AutoRAG: Grounding Text and Symbols." German Journal of Artificial Intelligence (2024). Springer, Volume 38.
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Malte Luttermann, Johann Machemer, Marcel Gehrke. (2024). "Efficient Detection of Exchangeable Factors in Factor Graphs." Proceedings of the Thirty-Seventh International FLAIRS Conference (FLAIRS-2024). Florida Online Journals, Volume 37. Best Student Paper.
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Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke. (2024). "Lifted Causal Inference in Relational Domains." Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-2024). PMLR, Volume 236, pages 827-842.
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Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller. (2024). "Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain." German Journal of Artificial Intelligence (2024). Springer, Volume 38.
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Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke. (2024). "Colour Passing Revisited: Lifted Model Construction with Commutative Factors." Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2024). AAAI Press, Volume 38, pages 20500-20507.
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Malte Luttermann, Ralf Möller, Marcel Gehrke. (2023). "Lifting Factor Graphs with Some Unknown Factors." Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-2023). Springer, Volume 14294, pages 337-347.
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Malte Luttermann*, Marcel Wienöbst*, Maciej Liśkiewicz. (2023). "Practical Algorithms for Orientations of Partially Directed Graphical Models." Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR-2023). PMLR, Volume 213, pages 259-280. (* Equal contribution)
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Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liśkiewicz. (2023). "Efficient Enumeration of Markov Equivalent DAGs." Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-2023). AAAI Press, Volume 37, pages 12313-12320.
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