Marcel Gehrke
- Research Assistant -
Curriculum Vitae
I moved to the University Hamburg.You can find me here.
- Since November 2022 - Principal Investigator in the AnoMed project
- October 2022 - March 2024 Responsible for the research data management at the University of Lübeck
- December 2021 - March 2024 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
- Privacy
- Causality
- Text Understanding
Lectures
- Intelligent Agents (MA, English, 6lect, 2ex, winter 2023/24, together with Ralf Möller and Özgür Özçep); part of lecture + exercises
- Advanced Topics Data Science and AI: Probabilistic Relational Models (MA, English, 2lect, 1ex, summer 2022); lecture + exercises
- Introduction to Web and Data Science (BA, German/English, 2lect, 1ex, winter 2022/23); lecture
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
- Statistical Relational AI - Exploiting Symmetries, at KR 2023, in collaboration with Tanya Braun and Marco Wilhelm, 2.-8.9.2023
- 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, KR, UAI, ICCS , ICBK
- Journals: KAIS, AMAI
Student Projects
- Moritz Hoffmann: Preparation of the project code of LJT and LDJT; see LJT Implementation und LDJT Implementation.
- Tristan Potten: 3D -printing of objects from MRT scans. As well as display and real-time alignment of virtual objects by external position sensors, including the display of additional information.
- Simon Schiff: Enriching of synthesized relational patient data with time series data
Publications
2019
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Efficient Multiple Query Answering in Switched Probabilistic Relational Models, in Proceedings of AI 2019: Advances in Artificial Intelligence (AI 2019) , Springer, Dec.2019. pp. 104--116.
Efficient Multiple Query Answering in Switched Probabilistic Relational Models, in Proceedings of AI 2019: Advances in Artificial Intelligence (AI 2019) , Springer, Dec.2019. pp. 104--116.
DOI: | https://doi.org/10.1007/978-3-030-35288-2_9 |
ISBN: | 978-3-030-35288-2 |
Bibtex: | ![]() @inproceedings{GehBrMo19f, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Efficient Multiple Query Answering in Switched Probabilistic Relational Models}}, Booktitle = {Proceedings of {AI} 2019: Advances in Artificial Intelligence ({AI} 2019)}, series = {Lecture Notes in Computer Science}, volume = {11919}, pages = {104--116}, publisher = {Springer}, year = {2019}, doi = {https://doi.org/10.1007/978-3-030-35288-2_9}, isbn= {978-3-030-35288-2} } |
Mattis
Hartwig,
Marcel
Gehrke, and
Ralf
Möller,
Approximate Query Answering in Complex Gaussian Mixture Models, in IEEE International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019 , IEEE, Nov.2019. pp. 81--86.
Approximate Query Answering in Complex Gaussian Mixture Models, in IEEE International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019 , IEEE, Nov.2019. pp. 81--86.
File: | ICBK.2019.00019 |
Bibtex: | ![]() @inproceedings{HarGeMo19, title={{Approximate Query Answering in Complex Gaussian Mixture Models}}, author = {Mattis Hartwig and Marcel Gehrke and Ralf M\"oller}, booktitle = {{IEEE} International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019}, year={2019}, pages={81--86}, publisher = {{IEEE}}, url = {https://doi.org/10.1109/ICBK.2019.00019}, publisher = {IEEE} } |
Marcel
Gehrke,
Simon
Schiff,
Tanya
Braun, and
Ralf
Möller,
Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring, in IEEE International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019 , IEEE, Nov.2019. pp. 73--80.
Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring, in IEEE International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019 , IEEE, Nov.2019. pp. 73--80.
DOI: | https://doi.org/10.1109/ICBK.2019.00018 |
Bibtex: | ![]() @inproceedings{GehSchBrMo19a, author = {Marcel Gehrke and Simon Schiff and Tanya Braun and Ralf M\"oller}, title={{Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring}}, booktitle = {{IEEE} International Conference on Big Knowledge, (ICBK 2019), Beijing, China, November 10-11, 2019}, year = {2019}, pages = {73--80}, publisher = {IEEE}, doi={https://doi.org/10.1109/ICBK.2019.00018} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Lifted Temporal Most Probable Explanation, in Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures (ICCS 2019) , Springer, Jul.2019. pp. 72--85.
Lifted Temporal Most Probable Explanation, in Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures (ICCS 2019) , Springer, Jul.2019. pp. 72--85.
DOI: | https://doi.org/10.1007/978-3-030-23182-8_6 |
ISBN: | 978-3-030-23182-8 |
Bibtex: | ![]() @inproceedings{GehBrMo19c, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Lifted Temporal Most Probable Explanation}}, booktitle = {Graph-Based Representation and Reasoning - 24th International Conference on Conceptual Structures (ICCS 2019)}, series = {Lecture Notes in Computer Science}, volume = {11530}, pages = {72--85}, publisher = {Springer}, year = {2019}, doi = {https://doi.org/10.1007/978-3-030-23182-8_6}, isbn={978-3-030-23182-8} } |
Tanya
Braun, and
Marcel
Gehrke,
Inference in Statistical Relational AI, in Proceedings of the International Conference on Conceptual Structures 2019 , Springer, Jul.2019. pp. xvii--xix.
Inference in Statistical Relational AI, in Proceedings of the International Conference on Conceptual Structures 2019 , Springer, Jul.2019. pp. xvii--xix.
DOI: | https://doi.org/10.1007/978-3-030-23182-8 |
Bibtex: | ![]() @inproceedings{BraGe19a, author = {Tanya Braun and Marcel Gehrke}, title = {{Inference in Statistical Relational AI}}, Booktitle = {Proceedings of the International Conference on Conceptual Structures 2019}, year = {2019}, publisher = {Springer}, pages = {xvii--xix}, doi = {https://doi.org/10.1007/978-3-030-23182-8} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Lifted Temporal Maximum Expected Utility, in Proceedings of the 32nd Canadian Conference on Artificial Intelligence (Canadian AI 2019), Kingston, ON, Canada, May 28-31, 2019 , Springer, May2019. pp. 380--386.
Lifted Temporal Maximum Expected Utility, in Proceedings of the 32nd Canadian Conference on Artificial Intelligence (Canadian AI 2019), Kingston, ON, Canada, May 28-31, 2019 , Springer, May2019. pp. 380--386.
DOI: | https://doi.org/10.1007/978-3-030-18305-9_33 |
ISBN: | 978-3-030-18305-9 |
Bibtex: | ![]() @inproceedings{GehBrMo19d, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Lifted Temporal Maximum Expected Utility}}, booktitle = {Proceedings of the 32nd Canadian Conference on Artificial Intelligence (Canadian AI 2019), Kingston, ON, Canada, May 28-31, 2019}, series = {Lecture Notes in Computer Science}, volume = {11489}, pages = {380--386}, publisher = {Springer}, year = {2019}, doi = {https://doi.org/10.1007/978-3-030-18305-9_33}, isbn={978-3-030-18305-9} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Relational Forward Backward Algorithm for Multiple Queries, in Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 , AAAI Press, May2019. pp. 464--469.
Relational Forward Backward Algorithm for Multiple Queries, in Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 , AAAI Press, May2019. pp. 464--469.
File: | 18230 |
Bibtex: | ![]() @inproceedings{GehBrMo19a, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Relational Forward Backward Algorithm for Multiple Queries}}, booktitle = {Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22}, pages = {464--469}, publisher = {{AAAI} Press}, year = {2019}, url = {https://aaai.org/ocs/index.php/FLAIRS/FLAIRS19/paper/view/18230} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Uncertain Evidence for Probabilistic Relational Models, in Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019 , Springer, 052019. pp. 80--93.
Uncertain Evidence for Probabilistic Relational Models, in Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019 , Springer, 052019. pp. 80--93.
DOI: | https://doi.org/10.1007/978-3-030-18305-9_7 |
ISBN: | 978-3-030-18305-9 |
Bibtex: | ![]() @inproceedings{GehBrMo19e, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Uncertain Evidence for Probabilistic Relational Models}}, booktitle = {Proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019}, series = {Lecture Notes in Computer Science}, volume = {11489}, pages = {80--93}, publisher = {Springer}, isbn={978-3-030-18305-9}, year = {2019}, publisher = {Springer}, doi = {https://doi.org/10.1007/978-3-030-18305-9_7}, } |
Marcel
Gehrke,
Tanya
Braun,
Ralf
Möller,
Alexander
Waschkau,
Christoph
Strumann, and
Jost
Steinhäuser,
Lifted Maximum Expected Utility, in Artificial Intelligence in Health , Springer International Publishing, 2019. pp. 131--141.
Lifted Maximum Expected Utility, in Artificial Intelligence in Health , Springer International Publishing, 2019. pp. 131--141.
DOI: | https://doi.org/10.1007/978-3-030-12738-1_10 |
ISBN: | 978-3-030-12738-1 |
Bibtex: | ![]() @inproceedings{GehBrMo19b, Author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller and Alexander Waschkau and Christoph Strumann and Jost Steinhäuser}, Title = {{Lifted Maximum Expected Utility}}, booktitle = {Artificial Intelligence in Health}, pages={131--141}, year = {2019}, isbn={978-3-030-12738-1}, doi={https://doi.org/10.1007/978-3-030-12738-1_10}, publisher = {Springer International Publishing} } |
2018
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm, in Proceedings of the AI 2018: Advances in Artificial Intelligence , Springer, Dec.2018. pp. 543--555.
Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm, in Proceedings of the AI 2018: Advances in Artificial Intelligence , Springer, Dec.2018. pp. 543--555.
DOI: | https://doi.org/10.1007/978-3-030-03991-2_50 |
ISBN: | 978-3-030-03991-2 |
Bibtex: | ![]() @inproceedings{GehBrMo18d, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm}}, booktitle = {Proceedings of the AI 2018: Advances in Artificial Intelligence}, year = {2018}, pages={543--555}, publisher={Springer}, isbn={978-3-030-03991-2}, doi = {https://doi.org/10.1007/978-3-030-03991-2_50} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm, in Proceedings of the AI 2018: Advances in Artificial Intelligence , Springer, Dec.2018. pp. 556--562.
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm, in Proceedings of the AI 2018: Advances in Artificial Intelligence , Springer, Dec.2018. pp. 556--562.
DOI: | https://doi.org/10.1007/978-3-030-03991-2_51 |
ISBN: | 978-3-030-03991-2 |
File: | 1807.00744 |
Bibtex: | ![]() @inproceedings{GehBrMo18e, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm}}, booktitle = {Proceedings of the AI 2018: Advances in Artificial Intelligence}, year = {2018}, pages={556--562}, publisher = {Springer}, isbn={978-3-030-03991-2}, doi={https://doi.org/10.1007/978-3-030-03991-2_51} } |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm, in Proceedings of KI 2018: Advances in Artificial Intelligence , Springer, Sep.2018. pp. 38--45.
Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm, in Proceedings of KI 2018: Advances in Artificial Intelligence , Springer, Sep.2018. pp. 38--45.
DOI: | https://doi.org/10.1007/978-3-030-00111-7_4 |
ISBN: | 978-3-030-00111-7 |
Bibtex: | ![]() @inproceedings{GehBrMo18c, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm}}, booktitle = {Proceedings of {KI} 2018: Advances in Artificial Intelligence}, year = {2018}, pages={38--45}, publisher = {Springer}, doi = {https://doi.org/10.1007/978-3-030-00111-7_4}, isbn={978-3-030-00111-7} } |
Marcel
Gehrke,
Tanya
Braun, and
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 , 072018.
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 , 072018.
File: | 1807.01586 |
Bibtex: | ![]() @inproceedings{GehBrMo18b, author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, title = {{Answering Hindsight Queries with Lifted Dynamic Junction Trees}}, booktitle = {8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence}, year = {2018}, url = {https://arxiv.org/abs/1807.01586} } |
Marcel
Gehrke,
Tanya
Braun,
Ralf
Möller,
Alexander
Waschkau,
Christoph
Strumann, and
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 , CEUR-WS.org, 072018. pp. 93--96.
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 , CEUR-WS.org, 072018. pp. 93--96.
File: | |
Bibtex: | ![]() @inproceedings{Gehrke2018TLMEU, Author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller and Alexander Waschkau and Christoph Strumann and Jost Steinhäuser}, Title = {{Towards Lifted Maximum Expected Utility}}, Year = {2018}, Booktitle={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}, series = {{CEUR} Workshop Proceedings}, volume = {2142}, year = {2018}, pages = {93--96}, publisher = {CEUR-WS.org}, url = {http://ceur-ws.org/Vol-2142/short8.pdf}} |
Marcel
Gehrke,
Tanya
Braun, and
Ralf
Möller,
Lifted Dynamic Junction Tree Algorithm, in Proceedings of the International Conference on Conceptual Structures , Springer, 062018. pp. 55--69.
Lifted Dynamic Junction Tree Algorithm, in Proceedings of the International Conference on Conceptual Structures , Springer, 062018. pp. 55--69.
DOI: | https://doi.org/10.1007/978-3-319-91379-7_5 |
File: | Dateilink |
Bibtex: | ![]() @inproceedings{gehrke2018ldjt, author={Marcel Gehrke and Tanya Braun and Ralf M{\"o}ller}, title={{Lifted Dynamic Junction Tree Algorithm}}, booktitle={Proceedings of the International Conference on Conceptual Structures}, year={2018}, pages = {55--69} publisher={Springer}, doi = {https://doi.org/10.1007/978-3-319-91379-7_5} } |
Simon
Schiff,
Marcel
Gehrke, and
Ralf
Möller,
Efficient Enriching of Synthesized Relational Patient Data with Time Series Data, Procedia Computer Science , vol. 141, pp. 531 - 538, 2018. Elsevier Science.
Efficient Enriching of Synthesized Relational Patient Data with Time Series Data, Procedia Computer Science , vol. 141, pp. 531 - 538, 2018. Elsevier Science.
DOI: | https://doi.org/10.1016/j.procs.2018.10.130 |
Bibtex: | ![]() @article{SchGeMo18a, author = {Simon Schiff and Marcel Gehrke and Ralf M\"oller}, title = {{Efficient Enriching of Synthesized Relational Patient Data with Time Series Data}}, journal = {Procedia Computer Science}, volume = {141}, pages = {531 - 538}, year = {2018}, note = {The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops}, issn = {1877-0509}, doi = {https://doi.org/10.1016/j.procs.2018.10.130}, publisher = {Elsevier Science} } |

- Team
- Umut Çalıkyılmaz
- Rebecca von Engelhardt
- Björn Filter
- Nils Fußgänger
- Jinghua Groppe
- Sven Groppe
- Tobias Groth
- Mattis Hartwig
- Nils Wendel Heinrich
- Akasha Kessel
- Hanieh Khorashadizadeh
- Malte Luttermann
- Jörg-Uwe Meyer
- Jeannette Mödlhammer
- Nitin Nayak
- Simon Paasche
- Michael Preisig
- Nele Rußwinkel
- Simon Schiff
- Tim Schulz
- Thomas Sievers
- Tobias Winker
- Alumni