Curriculum Vitae

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Education

• M.Sc. in Computer Science, University of Lübeck, September 2021. Thesis Slides (German)
• B.Sc. in Computer Science, University of Lübeck, October 2019. Thesis (German) Slides (German)

Work experience

• Since July 2023: Researcher, German Research Center for Artificial Intelligence
• October 2021 - June 2023: Researcher, Institute of Information Systems, University of Lübeck
• Since July 2021: Co-Founder of StickTo
• April 2018 - July 2021: Tutor, University of Lübeck
  • Algorithm Design (Winter term 2019/20, 2020/21)
  • Algorithms and Datastructures (Summer term 2018, 2019, 2020, 2021)
  • Introduction to Databases and Systems Biology (Summer term 2019)
  • Introduction to Logics (Winter term 2018/19, 2019/20, summer term 2021)

Publications

• Approximate Lifted Model Construction

  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).
  Paper Slides Poster

• Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs

  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.
  Paper Poster URL

• Lifting Factor Graphs with Some Unknown Factors for New Individuals

  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.
  Paper URL

• Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs

  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.
  Paper Slides URL

• Efficient Detection of Commutative Factors in Factor Graphs

  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.
  Paper Slides URL

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

  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.
  Paper Slides URL

• AutoRAG: Grounding Text and Symbols

  Tim Schulz, Malte Luttermann, Ralf Möller. (2024). "AutoRAG: Grounding Text and Symbols." German Journal of Artificial Intelligence (2024). Springer, Volume 38.
  Paper URL

• Efficient Detection of Exchangeable Factors in Factor Graphs

  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.
  Paper Slides URL

• Lifted Causal Inference in Relational Domains

  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.
  Paper Poster URL

• 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. (2024). "Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain." German Journal of Artificial Intelligence (2024). Springer, Volume 38.
  Paper URL

• Colour Passing Revisited: Lifted Model Construction with Commutative Factors

  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.
  Paper Slides Poster URL

• Lifting Factor Graphs with Some Unknown Factors

  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.
  Paper Slides URL

• Practical Algorithms for Orientations of Partially Directed Graphical Models

  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)
  Paper Poster URL

• Efficient Enumeration of Markov Equivalent DAGs

  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.
  Paper Slides Poster URL