Jun.-Prof. Dr. rer. nat. Tanya Braun
- Alumni, former Research Assistant -
ACHTUNG: Am 1. November 2021 bin ich zur WWU Münster gewechselt (Mitteilung der WWU Münster).
Mein neuer Internetauftritt findet sich hier: https://www.uni-muenster.de/Informatik.AGBraun/
Die Seite hier wird nicht mehr aktualisiert!
Publikationen am IFIS
Alle:DBLP
Alle:Google Scholar
Alle:Semantic Scholar
CV
- Seit November 2021 Juniorprofessorin und Leiterin der Arbeitsgruppe Data Science an der WWU Münster
- Februar 2020 - Promotion (Dissertationsschrift, Kolloquiumsfolien)
- Dezember 2015 - 31. Oktober 2021 wissenschaftliche Mitarbeiterin am Institut für Informationssysteme der Universität zu Lübeck
- September 2015 - M.Sc. in Computational Informatics, Technische Universität Hamburg-Harburg
- August 2009 - B.A. hons in Business Administration, University of Sunderland
Forschungsinteressen
Meine Forschungsinteressen liegen hauptsächlich in den genannten Themenbereichen:
- Statistisch-relationale KI (Statistical relational AI, StarAI), besonders probabilistische Inferenz in relationalen Domänen
- Textverständnis, besonders Annotationen und Kontextdarstellungen
- mensch-bewusste KI, besonders Online Entscheidungen durch mensch-bewusste Agenten
Meine Doktorarbeit gehört zum Bereich StarAI und hat den Lifted Junction Tree Algorithmus (LJT) als zentrales Thema. Nähere Informationen zu LJT finden Sie hier.
Lehre
Meine aktuelle Lehrtätigkeit finden Sie hier.
Vorlesung
- Intelligente Agenten (MA, englisch, 4VL, 2Üb, WiSe2020/21, zusammen mit Ralf Möller); Teil der Vorlesung + Übung
- Advanced Topics Data Science and AI: Automated Planning and Acting (MA, englisch, 2VL, 1Üb, SoSe2020); Vorlesung + Übung
- MOBI-DBS-B: Datenbanksysteme, Lehrauftrag Otto-Friedrich-Universität Bamberg (BA, Sommer 2019)
Übungsleitung
- Algorithmen und Datenstrukturen (BA 2. Sem., Sommer, 4VL, 2Üb, 2016-2019)
- Einführung in Web und Data Science (BA 1. Sem., Winter, 2VL, 1Üb, 2016/17-2019/20)
- Non-standard Datenbanken und Data Mining (BA 5. Sem., Winter, 4VL, 2Üb, 2018/19-2019/20)
- Web Mining Agents (MA, englisch, Winter, 4VL, 2Üb, 2015/16-2017/18)
Wissenschaftliche Aktivitäten
Herausgeberschaft
- Handbuch der Künstlichen Intelligenz, 6. Auflage, in Zusammenarbeit mit Günther Görz und Ute Schmid, Verlag: De Gruyter, Link zur Verlagsseite
- Special Issue on Conceptual Structures 2020, Annals of Mathematics and Artificial Intelligence, in Zusammenarbeit mit Mehwish Alam, Dominik Endres und Bruno Yun, Verlag: Springer, Call for papers
Organisation
- 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, Doctoral Consortium Chair (call)
- 27th International Conference on Conceptual Strucutres, September, Münster, Germany (ICCS 2022), General Chair
- 44th German Conference on Artificial Intelligence, September 27-October 1, 2021, Berlin, Germany (KI2021), Workshop & Tutorials Chair
- 26th International Conference on Conceptual Strucutres, September, Bolzano, Italy (ICCS 2021), General Chair
- 43rd German Conference on Artificial Intelligence, September 21–25, 2020, Bamberg, Germany (KI2020), Doctoral Consortium Chair (call)
- 25th International Conference on Conceptual Strucutres, September 18-21, Bolzano, Italy (ICCS 2020), Co-Program Chair (call)
Eingeladene Vorträge
- Vortrag im Geoinformatik Forum mit dem Titel "A Glimpse into Statistical Relational AI - Indistinguishability for the Win!", Folien hier
- Vortrag beim WWU Resilienzkolloquium mit dem Titel "Inference Techniques for Resilience", 9.11.2022, Folien hier
- Vortrag bei der Woche der KI Lübeck mit dem Titel "The More, the Merrier: The Power of Relations for Probabilistic Graphical Models", 3.11.2022, Folien hier
- Vortrag beim Workshop "Robust AI for High-stakes Applications@KI-22" mit dem Titel "Statistical Relational AI and Robustness", 20.09.2022, virtuell, Folien hier
- Vortrag beim Workshop "Data Linking for Humanities Research" mit dem Titel "To Extend or Not to Extend? Context-driven Corpus Enrichment", 21.10.2019, Hamburg, Folien hier
- Präsentation des Forschungsprojekts LJT am Institut für Medizinische Elektrotechnik, 16.1.2018, Lübeck, Folien hier
Tutorials
- Eingeladen: A Glimpse into Statistical Relational AI: The Power of Indistinguishability, auf der SUM 2022, 18.10.2022, Webseite hier
- StaRAI - Semantics and Symmetries in Exact Lifted Inference, auf der ECAI 2020, in Zusammenarbeit mit Marcel Gehrke, 29-30.08.2020
- StaRAI - Semantics and Inference auf der FLAIRS-33, in Zusammenarbeit mit Marcel Gehrke, Prof. Dr. Gabriele Kern-Isberner und Marco Wilhelm, 17.-20.05.2020 (FLAIRS-33 wurde abgesagt)
- Dynamic StarAI auf der KI 2019 in Zusammenarbeit mit Marcel Gehrke und Ralf Möller, 23.-26.09.2019
- Inference in Statistical Relational AI auf der ICCS 2019 in Zusammenarbeit mit Marcel Gehrke, 01.-04.07.2019
- StarAI or StarDB? auf der BTW 2019, 04.03.2019
- StarAI auf der KI-18 in Zusammenarbeit mit Kristian Kersting und Ralf Möller, 24.09.18 (Folien hier verfügbar)
Folien für Konferenz/Workshop-Papiere (für Papiere, bei denen ich den Vortrag gehalten habe; der Name des Links bezieht sich auf den Titel des Papiers)
- To Extend or not to Extend? Complementary Documents
- Restricting the Maximum Number of Actions for Decision Support under Uncertainty
- Lifting Queries for Lifted Inference (Highlight-Artikel auf der ECAI-2020 von einem IJCAI-2018-Artikel)
- Exploring Unknown Universes in Probabilistic Relational Models
- To Extend or not to Extend? Context-specific Corpus Enrichment
- Uncertain Evidence for Probabilistic Relational Models
- Adaptive Inference on Probabilistic Relational Models
- Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
- Parameterised Queries and Lifted Query Answering
- Lifted Most Probable Explanation
- Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm
- Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm
- Lifted Junction Tree Algorithm
Reviews
Studentische Projekte
- Moritz Hoffmann: Aufbereitung des Projektscodes für LJT und LDJT; siehe LJT Implementierung und LDJT Implementierung.
- Florian Marwitz: Kompaktifizierung von lokalen Verteilungen zur Generierung von Regeln.
- Tristan Potten: Framework zum Benchmarken von Algorithmen zur Anfragebeantwortung in probabilistischen Modellen von der Generieren der Modelle bis zur Sammlung von Statistikwerten; siehe GitHub-Projekt und Veröffentlichung.
Publikationen
2020
Restricting the Maximum Number of Actions for Decision Support under Uncertainty, in Proceedings of the 25th International Conference on Conceptual Structures (ICCS 2020) , 092020.
DOI: | https://doi.org/10.1007/978-3-030-57855-8_11 |
Bibtex: | ![]() @inproceedings{GehBrPo20, author = {Marcel Gehrke and Tanya Braun and Simon Polovina}, title = {{Restricting the Maximum Number of Actions for Decision Support under Uncertainty}}, booktitle = {Proceedings of the 25th International Conference on Conceptual Structures (ICCS 2020)}, year = {2020}, doi = {https://doi.org/10.1007/978-3-030-57855-8_11} } |
Taming Reasoning in Temporal Probabilistic Relational Models, in Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020) , IOS Press, 082020. pp. 2592--2599.
DOI: | https://doi.org/10.3233/FAIA200395 |
File: | 1911.07040 |
Bibtex: | ![]() @inproceedings{GehMoBr20, author = {Marcel Gehrke and Ralf M\"oller and Tanya Braun}, title = {{Taming Reasoning in Temporal Probabilistic Relational Models}}, booktitle = {Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020)}, year = {2020}, doi = {https://doi.org/10.3233/FAIA200395} } |
Lifting Queries for Lifted Inference, in Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020) , IOS Press, 082020. pp. 2891--2892.
DOI: | https://doi.org/10.3233/FAIA200439 |
Bibtex: | ![]() @inproceedings{BraMo20a, author = {Tanya Braun and Ralf M\"oller}, title = {{Lifting Queries for Lifted Inference}}, booktitle = {Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020)}, year = {2020}, doi = {https://doi.org/10.3233/FAIA200439} } |
Lifted Marginal Filtering for Asymmetric Models by Clustering-based Merging, in Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020) , IOS Press, 082020. pp. 2608--2615.
DOI: | https://doi.org/10.3233/FAIA200397 |
Bibtex: | ![]() @inproceedings{LueGeBrMoKi20, author = {Stefan L\"udtke and Marcel Gehrke and Tanya Braun and Ralf M\"oller and Thomas Kirste}, title = {{Lifted Marginal Filtering for Asymmetric Models by Clustering-based Merging}}, booktitle = {Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020)}, year = {2020}, doi = {https://doi.org/10.3233/FAIA200397} } |
Exploring Unknown Universes in Probabilistic Relational Models, in 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence , Springer International Publishing, Feb.2020. pp. 91–-103.
DOI: | https://doi.org/10.1007/978-3-030-35288-2_8 |
ISBN: | 978-3-030-35288-2 |
File: | 2001.02021 |
Bibtex: | ![]() @inproceedings{BraMo20, author = {Tanya Braun and Ralf M\"oller}, title = {{Exploring Unknown Universes in Probabilistic Relational Models}}, booktitle = {9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence}, year = {2020}, url = {https://arxiv.org/abs/2001.02021} } |
Maintaining Topic Models for Growing Corpora, in Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20) , IEEE, 2020. pp. 451--458.
DOI: | 10.1109/ICSC.2020.00017 |
File: | |
Bibtex: | ![]() @INPROCEEDINGS{KuhBeBrMo20b, author={Felix Kuhr and Magnus Bender and Tanya Braun and Ralf M\"oller}, title={{Maintaining Topic Models for Growing Corpora}}, booktitle={Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20)}, year={2020}, pages = {451--458}, publisher = {IEEE}, doi={https://doi.org/10.1109/ICSC.2020.00017}, ISSN={}, keywords={Topic Models;Machine Learning;Text Mining} } |
ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures., .... Springer, 2020.
DOI: | https://doi.org/10.1007/978-3-030-57855-8 |
Bibtex: | ![]() @book{AlaBrYu20, author = "Mehwish Alam and Tanya Braun and Bruno Yun (Eds.)", title = "{ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures}", year = "2020", publisher = "Springer", doi = {https://doi.org/10.1007/978-3-030-57855-8} } |
ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures., .... Springer, 2020.
DOI: | https://doi.org/10.1007/978-3-030-57855-8 |
Bibtex: | ![]() @book{AlaBrYu20, author = {Mehwish Alam and Tanya Braun and Bruno Yun (Eds.)}, title = {ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures}, year = {2020}, publisher = {Springer}, doi = {https://doi.org/10.1007/978-3-030-57855-8} } |
{Rescued from a Sea of Queries: Exact Inference in Probabilistic Relational Models}, University of L"ubeck, 2020.
{Handbuch der Künstlichen Intelligenz, 6. Auflage}., .... De Gruyter, 2020.
Bibtex: | ![]() @book{GoeBrSc20, author = "G\"unther G\"orz and Tanya Braun and Ute Schmid (Eds.)", title = "{Handbuch der Künstlichen Intelligenz, 6. Auflage}", year = "2020", publisher = "De Gruyter" } |
{Handbuch der K"unstlichen Intelligenz, 6. Auflage}., .... De Gruyter, 2020.
File: | 558044 |
Bibtex: | ![]() @book{GoeBrSc20, author = "G\"unther G\"orz and Tanya Braun and Ute Schmid (Eds.)", title = "{Handbuch der K\"unstlichen Intelligenz, 6. Auflage}", year = "2020", publisher = "De Gruyter", url = {https://www.degruyter.com/view/title/558044?rskey=Yc1Ty5} } |
{Benchmarking Inference Algorithms for Probabilistic Relational Models}, in ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures , 2020.
DOI: | https://doi.org/10.1007/978-3-030-57855-8_15 |
Bibtex: | ![]() @inproceedings{PotBr20, author = {Tristan Potten and Tanya Braun}, title = {{Benchmarking Inference Algorithms for Probabilistic Relational Models}}, booktitle = {ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures}, year = {2020}, doi = {https://doi.org/10.1007/978-3-030-57855-8_15} } |
Augmenting and Automating Corpus Enrichment, Int. J. Semantic Computing , vol. 14, no. 2, pp. 173--197, 2020.
DOI: | 10.1142/S1793351X20400061 |
File: | |
Bibtex: | ![]() @article{KuhBeBrMo20c, author={Felix Kuhr and Magnus Bender and Tanya Braun and Ralf M\"oller}, title={Augmenting and Automating Corpus Enrichment}, journal={Int. J. Semantic Computing}, volume={14}, number={2}, pages= {173--197}, year={2020}, doi = {https://dx.doi.org/10.1142/S1793351X20400061} } |
2019
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} } |
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} } |
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} } |
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} } |
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}, } |
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} } |
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} } |
2017
{Unsupervised Text Annotations}, in Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief {(DKB-2017)} and the 5th Workshop {KI} {\&} Kognition {(KIK-2017)} co-located with 40th German Conference on Artificial Intelligence {(KI 2017)} , CEUR-WS.org, 25..2017. pp. 23--30.
File: | |
Bibtex: | ![]() @inproceedings{BraKuMo17, author = {Tanya Braun and Felix Kuhr and Ralf M\"oller}, title = {{Unsupervised Text Annotations}}, booktitle = {Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief {(DKB-2017)} and the 5th Workshop {KI} {\&} Kognition {(KIK-2017)} co-located with 40th German Conference on Artificial Intelligence {(KI 2017)}}, series = {{CEUR} Workshop Proceedings}, volume = {1928}, year = {2017}, month = {25.-29.09.}, pages = {23--30}, publisher = {CEUR-WS.org}, url = {http://ceur-ws.org/Vol-1928/paper2.pdf} } |
2019
To Extend or not to Extend? Context-specific Corpus Enrichment, in Proceedings of AI 2019: Advances in Artificial Intelligence , Springer, 2019. pp. 357--368.
DOI: | 10.1007/978-3-030-35288-2_29 |
File: | |
Bibtex: | ![]() @inproceedings{KuBrBeMo19a, author = {Felix Kuhr and Tanya Braun and Magnus Bender and Ralf M\"oller}, title = {{To Extend or not to Extend? Context-specific Corpus Enrichment}}, booktitle = {Proceedings of {AI} 2019: Advances in Artificial Intelligence}, series = {Lecture Notes in Computer Science}, volume = {11919}, pages = {357--368}, publisher = {Springer}, year = {2019}, doi = {https://doi.org/10.1007/978-3-030-35288-2_29}, isbn= {978-3-030-35288-2} } |
StaRAI or StaRDB? - A Tutorial on Statistical Relational AI, in BTW-19 Proceedings Datenbanksysteme für Business, Technologie und Web -- Workshopband , Gesellschaft für Informatik, 2019. pp. 263--266.
DOI: | https://doi.org/10.18420/btw2019-ws-27 |
Bibtex: | ![]() @inproceedings{Bra19, author = {Tanya Braun}, title = {{StaRAI or StaRDB? - A Tutorial on Statistical Relational AI}}, booktitle = {BTW-19 Proceedings Datenbanksysteme für Business, Technologie und Web -- Workshopband}, pages = {263--266}, year = {2019}, publisher = {Gesellschaft für Informatik}, doi={https://doi.org/10.18420/btw2019-ws-27} } |
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
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} } |

- 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