Malte Luttermann

Orcid: 0009-0005-8591-6839

According to our database1, Malte Luttermann authored at least 15 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Compression versus Accuracy: A Hierarchy of Lifted Models.
CoRR, May, 2025

Approximate Lifted Model Construction.
CoRR, April, 2025

Lifting factor graphs with some unknown factors for new individuals.
Int. J. Approx. Reason., 2025

2024
AutoRAG: Grounding Text and Symbols.
Künstliche Intell., November, 2024

Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain.
Künstliche Intell., November, 2024

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs.
Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024

Efficient Detection of Commutative Factors in Factor Graphs.
Proceedings of the International Conference on Probabilistic Graphical Models, 2024

Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models.
Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

Efficient Detection of Exchangeable Factors in Factor Graphs.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Lifted Causal Inference in Relational Domains.
Proceedings of the Causal Learning and Reasoning, 2024

Colour Passing Revisited: Lifted Model Construction with Commutative Factors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Lifting Factor Graphs with Some Unknown Factors.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Practical Algorithms for Orientations of Partially Directed Graphical Models.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

Efficient Enumeration of Markov Equivalent DAGs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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