Dr. rer. nat. Marcel Gehrke

- Research Assistant -

Institut für Informationssysteme
Universität zu Lübeck
Ratzeburger Allee 160 ( Gebäude 64 - 2.OG, Raum 67 )
D-23562 Lübeck

Telefon: +49 451 3101 5714
Fax : +49 451 3101 5704
email :  E-Mail an Marcel Gehrke

Curriculum Vitae

Since November 2022 - Principal Investigator in the AnoMed project
Since October 2022 - Responsible for the research data management at the University of Lübeck
Since December 2021 - PostDoc at the Institute for Informationsystems at the Universität zu Lübeck
April 2017 - December 2021 - Research Assistant at the Institute for Informationsystems at the Universität zu Lübeck
September 2015- March 2017 Consultant at Avanade Deutschland GmbH

Research Interests

Machine Learning
Probabilistic Graphical Models
Lifted Inference
Temporal and Relational Models

For my PhD, I work on probabilistic first-order formalisms where the domain objects are known. In these formalisms, the standard approach for inference with first-order constructs include lifted variable elimination (LVE) for single queries. To handle multiple queries efficiently and to obtain a compact representation, the lifted junction tree algorithm (LJT) extends LVE. In my thesis, I extend the formalism and respectively LJT to handle temporal aspects. To be more precise, I am interested in solving inference problems, e.g. smoothing, filtering, and prediction, efficiently and to learn relational temporal models from data.

Lectures

Winter term 22/23 - Introduction to Web and Data Science

Research Activities

Organisation

26th International Conference on Conceptual Strucutres, September, Bolzano, Italy (ICCS 2021), Co-Programme Chair

Tutorials

Let's Talk about Palm Leafs - From Minimal Data to Text Understanding, at KI 2023 in collaboration with Tanya Braun und Magnus Bender, 26.-29.9.2023
StaRAI - Semantics and Symmetries in Exact Lifted Inference, at ECAI 2020, in collaboration with Tanya Braun August 29-30, 2020
StaRAI - Semantics and Inference at the FLAIRS-33, in collaboration with Tanya Braun, Prof. Dr. Gabriele Kern-Isberner and Marco Wilhelm, 17.-20.05.2020 (FLAIRS-33 got cancelled)
Dynamic StarAI at the KI 2019 in collaboration with Tanya Braun and Ralf Möller, September 23-26, 2019
Inference in Statistical Relational AI at the ICCS 2019 in collaboration with Tanya Braun, 01.-04.07.2019

Review Activities

Conferences: AAAI, AISTATS, ICCS (PC), ICBK (PC)
Journals: KAIS, AMAI

Publications

2024

Malte Luttermann, Johann Machemer, Marcel Gehrke: Efficient Detection of Exchangeable Factors in Factor Graphs
to be published in: Proceedings of the Thirty-Seventh International FLAIRS Conference (FLAIRS-24), 2024, Florida Online Journals
Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke: Lifted Causal Inference in Relational Domains
in: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24), 2024, PMLR
Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke: Colour Passing Revisited: Lifted Model Construction with Commutative Factors
in: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024, AAAI Press, Vol.38, p.20500-20507
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: ReFrESH – Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions
in: 18th IEEE International Conference on Semantic Computing, (ICSC 2024), February 5-7, 2024, IEEE, p.17-24
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: Unsupervised Estimation of Subjective Content Descriptions in an Information System
in: International Journal of Semantic Computing, 2024, Vol.18, (1)

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2023

Marcel Gehrke: Dissertation Abstract: Taming Exact Inference in Temporal Probabilistic Relational Models
in: KI-Künstliche Intelligenz, 2023, p.1-6
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: LESS is More: LEan Computing for Selective Summaries
in: KI 2023: Advances in Artificial Intelligence, 2023, Springer Nature Switzerland, p.1-14
Magnus Bender, Kira Schwandt, Ralf Möller, Marcel Gehrke: FrESH – Feedback-reliant Enhancement of Subjective Content Descriptions by Humans
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings, p.15-24
Nadja Redzuan, Marcel Gehrke, Ralf Möller, Tanya Braun: On Domain-specific Topic Modelling Using the Case of a Humanities Journal
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), , CEUR Workshop Proceedings
Malte Luttermann, Ralf Möller, Marcel Gehrke: Lifting Factor Graphs with Some Unknown Factors
in: Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-23), 2023, Springer, Vol.14294, p.337-347
Florian Andreas Marwitz, Ralf Möller, Marcel Gehrke: PETS: Predicting Efficiently using Temporal Symmetries in Temporal PGMs
in: Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-23), 2023, Springer
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: Unsupervised Estimation of Subjective Content Descriptions
in: 17th IEEE International Conference on Semantic Computing, (ICSC 2023), February 1-3, 2023, IEEE

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2022

Marcel Gehrke, Ralf Möller, Tanya Braun: Who did it? Identifying the Most Likely Origins of Events
in: Proceedings of the 11th International Conference on Probabilistic Graphical Models (PGM 2022), 2022, p.217-228
Tanya Braun, Marcel Gehrke: Explainable and Explorable Decision Support
in: Proceedings of the 27th International Conference on Conceptual Structures (ICCS 2022), Münster, Germany, September 12-15, 2022, 2022
Tanya Braun, Marcel Gehrke, Florian Lau, Ralf Möller: Lifting in Multi-agent Systems under Uncertainty
in: 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, Netherlands, August 1-5, 2022, 2022

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2021

Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying and Translating Subjective Content Descriptions Among Texts
in: International Journal of Semantic Computing, 2021, Vol.15, (4), p.461-485
Marcel Gehrke: Taming Exact Inference in Temporal Probabilistic Relational Models
University of Lübeck, 2021, PhD thesis
Marcel Gehrke: On the Complexity and Completeness of the Lifted Dynamic Junction Tree Algorithm
in: 10th International Workshop on Statistical Relational AI at the 1st International Joint Conference on Learning and Reasoning, 2021
Tanya Braun, Marcel Gehrke, Tom Hanika, Nathalie Hernandez (Eds.): ICCS-21 Proceedings of the 26th International Conference on Conceptual Structures
Springer, 2021
Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller: Concept Drift Detection in Dynamic Probabilistic Relational Models
in: The International FLAIRS Conference Proceedings, 2021, Vol.34
Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller: Dynamic Domain Sizes in Temporal Probabilistic Relational Models
in: The International FLAIRS Conference Proceedings, 2021, Vol.34
Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions Among Texts
in: 15th IEEE International Conference on Semantic Computing, (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.9-16

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2020

Nils Finke, Marcel Gehrke, Tanya Braun, Tristan Potten, Ralf Möller: Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping
in: Proceedings of the 10th International Conference on Probabilistic Graphical Models, 2020, 23-25 Sep, Manfred Jaeger, Thomas Dyhre Nielsen volu (Ed.), PMLR, Proceedings of Machine Learning Research, p.197-208
Marcel Gehrke, Tanya Braun, Simon Polovina: Restricting the Maximum Number of Actions for Decision Support under Uncertainty
in: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures, 2020
Marcel Gehrke, Ralf Möller, Tanya Braun: Taming Reasoning in Temporal Probabilistic Relational Models
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020, p.2592 - 2599
Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste: Lifted Marginal Filtering for Asymmetric Models by Clustering-based Merging
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Marcel Gehrke, Tanya Braun, Ralf Möller: Taming Reasoning in Temporal Probabilistic Relational Models
in: 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence, 2020

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2019

Marcel Gehrke, Tanya Braun, Ralf Möller: Efficient Multiple Query Answering in Switched Probabilistic Relational Models
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, Lecture Notes in Computer Science, Vol.11919, p.104-116
Marcel Gehrke, Simon Schiff, Tanya Braun, Ralf Möller: Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring
in: Proceedings of the ICBK 2019, 2019, IEEE, p.73-80
Mattis Hartwig, Marcel Gehrke, Ralf Möller: Approximate Query Answering in Complex Gaussian Mixture Models
in: Proceedings of the ICBK 2019, 2019, IEEE, p.81-86
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Most Probable Explanation
in: Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures, (ICCS 2019), Marburg, Germany, July 1-4,, 2019, Springer, Lecture Notes in Computer Science, Vol.11530, p.72-85
Tanya Braun, Marcel Gehrke: Inference in Statistical Relational AI
in: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, p.xvii-xix
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Temporal Maximum Expected Utility
in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, p.380-386
Marcel Gehrke, Tanya Braun, Ralf Möller: Uncertain Evidence for Probabilistic Relational Models
in: Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, 2019, Springer, Lecture Notes in Computer Science, Vol.11489, p.80-93
Marcel Gehrke, Tanya Braun, Ralf Möller: Relational Forward Backward Algorithm for Multiple Queries
in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS-19), 2019, AAAI Press, p.464-469
Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Lifted Maximum Expected Utility
in: Artificial Intelligence in Health, 2019, Springer International Publishing, p.131-141

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2018

Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.543-555
Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.556-562
Simon Schiff, Marcel Gehrke, Ralf Möller: Efficient Enriching of Synthesized Relational Patient Data with Time Series Data
in: Procedia Computer Science, 2018, Vol.141, p.531 - 538, The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops
Marcel Gehrke, Tanya Braun, Ralf Möller: Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: Proceedings of KI 2018: Advances in Artificial Intelligence, 2018, Springer, p.38-45
Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Hindsight Queries with Lifted Dynamic Junction Trees
in: 8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence, 2018
Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser: Towards Lifted Maximum Expected Utility
in: Proceedings of the First Joint Workshop on Artificial Intelligence in Health in Conjunction with the 27th IJCAI, the 23rd ECAI, the 17th AAMAS, and the 35th ICML, 2018, CEUR-WS.org, CEUR Workshop Proceedings, Vol.2142, p.93-96
Marcel Gehrke, Tanya Braun, Ralf Möller: Lifted Dynamic Junction Tree Algorithm
in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.55-69

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