Malte Luttermann

According to our database, Malte Luttermann authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Lifting factor graphs with some unknown factors for new individuals.

Malte Luttermann, Ralf Möller, Marcel Gehrke

Int. J. Approx. Reason., 2025

Approximate Lifted Model Construction.

Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

StaRAI: From a Probabilistic Propositional Model to a Highly Compressed Probabilistic Relational Model - Extended Abstract.

Marcel Gehrke, Malte Luttermann

Proceedings of the Joint Proceedings of the ECSQARU 2025 Workshops and Tutorials, 2025

Compression Versus Accuracy: A Hierarchy of Lifted Models.

Jan Speller, Malte Luttermann, Marcel Gehrke, Tanya Braun

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective.

Jan Speller, Malte Luttermann, Marcel Gehrke, Tanya Braun

Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning co-located with 48th German Conference on Artificial Intelligence, September 16, 2025

2024

AutoRAG: Grounding Text and Symbols.

Tim Schulz, Malte Luttermann, Ralf Möller

Künstliche Intell., November, 2024

Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain.

Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller

Künstliche Intell., November, 2024

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs.

Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke

Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024

Efficient Detection of Commutative Factors in Factor Graphs.

Malte Luttermann, Johann Machemer, Marcel Gehrke

Proceedings of the International Conference on Probabilistic Graphical Models, 2024

Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs.

Malte Luttermann, Ralf Möller, Marcel Gehrke

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models.

Malte Luttermann, Ralf Möller, Mattis Hartwig

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

Efficient Detection of Exchangeable Factors in Factor Graphs.

Malte Luttermann, Johann Machemer, Marcel Gehrke

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Lifted Causal Inference in Relational Domains.

Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke

Proceedings of the Causal Learning and Reasoning, 2024

Colour Passing Revisited: Lifted Model Construction with Commutative Factors.

Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lifting Factor Graphs with Some Unknown Factors.

Malte Luttermann, Ralf Möller, Marcel Gehrke

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Practical Algorithms for Orientations of Partially Directed Graphical Models.

Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Efficient Enumeration of Markov Equivalent DAGs.

Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023