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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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A book that teaches the C# programming language for beginners (in German).
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A book that teaches the Java programming language for beginners (in German).
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An introduction to the Rust programming language (in German).
FinanceList-Desktop is a simple finance managing tool to track your expenses.
StickTo is an app which helps young people finding their career orientation.
Published in Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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. https://ojs.aaai.org/index.php/AAAI/article/view/26451
Published in Second Conference on Causal Learning and Reasoning, 2023
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) https://proceedings.mlr.press/v213/luttermann23a.html
Published in Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023
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. https://link.springer.com/chapter/10.1007/978-3-031-45608-4_25
Published in Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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. https://ojs.aaai.org/index.php/AAAI/article/view/30034
Published in German Journal of Artificial Intelligence, 2024
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. https://link.springer.com/article/10.1007/s13218-023-00810-z
Published in Third Conference on Causal Learning and Reasoning, 2024
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. https://proceedings.mlr.press/v236/luttermann24a.html
Published in Thirty-Seventh International FLAIRS Conference, 2024
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. https://journals.flvc.org/FLAIRS/article/view/135518
Published in German Journal of Artificial Intelligence, 2024
Tim Schulz, Malte Luttermann, Ralf Möller. (2024). "AutoRAG: Grounding Text and Symbols." German Journal of Artificial Intelligence (2024). Springer, Volume 38. https://link.springer.com/article/10.1007/s13218-024-00850-z
Published in Forty-Seventh German Conference on Artificial Intelligence, 2024
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. https://link.springer.com/chapter/10.1007/978-3-031-70893-0_13
Published in Twelfth International Conference on Probabilistic Graphical Models, 2024
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. https://proceedings.mlr.press/v246/luttermann24a.html
Published in Sixteenth International Conference on Scalable Uncertainty Management, 2024
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. https://link.springer.com/chapter/10.1007/978-3-031-76235-2_20
Published in International Journal of Approximate Reasoning, 2025
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. https://doi.org/10.1016/j.ijar.2025.109371
Published in Third Learning on Graphs Conference, 2025
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. https://proceedings.mlr.press/v269/luttermann25a.html
Published in Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig. (2025). "Approximate Lifted Model Construction." To appear in: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-2025).
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