Tanya Braun

Jun.-Prof. Dr. Tanya Braun
Data Science Group
Computer Science Department

Room 609
Einsteinstr. 62
48149 Münster

T: +49 251 83-38 417
F: +49 251 83-33 755
tanya.braun@uni-muenster.de
Consultation hours: By appointment

External Profiles:

Further publication listings:

Publications @ Uni Münster: see below
Publications IFIS: here
All:Semantic scholar
All:DBLP

Short Bio

Tanya Braun is an assistant professor at the University of Münster. She successfully completed her B.A. hons. degree in business administration before studying Computational Informatics ata the Hamburg University of Technology. Following the completion of her M.Sc. degree, she received a doctorate degree (Dr. rer. nat.) from the University of Lübeck in the area of computer science for the dissertation "Rescued from a Sea of Queries - Exact Inference in Probablistic Relational Models". Her research interests are primarily in the areas of statistical relational AI, human-aware decision making and text understanding. With the newest edition, she became a co-editor of the German textbook "Handbuch der Künstlichen Intelligenz" (engl. Handbook on Artificial Intelligence).

Research Foci
- Statistical relational artificial intelligence, specifically, probabilistic inference (probability- as well as decision-theoretic) in relational domains
- Human-aware AI, specifically, inference in human-aware agents
- Text understanding, specifically, annotations and context representations
CV
Academic Education
02.2020
Doctorate, University of Lübeck, Dr. rer. nat.
10.2013 – 09.2015
Studies Computational Informatics, Hamburg University of Technology, Degree: M.Sc.
10.2010 – 09.2013
Studies Computational Informatics, Hamburg University of Technology, Degree B.Sc.
Positions
since 11.2021
Assistant professor
03.2020 – 10.2021
Research Associate (PostDoc)
12.2015 – 02.2020
Research Assistant (grad student)
Publications
2024
- Hartwig, Mattis; Möller, Ralf; Braun, Tanya. 2024. ‘An Extended View on Lifting Gaussian Bayesian Networks.’ Artificial Intelligence 330: 104082. doi: 10.1016/j.artint.2024.104082.
- Luttermann, Malte; Hartwig, Mattis; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2024. ‘Lifted Causal Inference in Relational Domains.’ In CLeaR-24 Proceedings of the 3rd Conference on Causal Learning and Reasoning, edited by Locatello, Francesco; Didelez, Vanessa, 827–842.: MLResearchPress. [accepted / in Press (not yet published)]
- Bender, Magnus; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2024. ‘Unsupervised Estimation of Subjective Content Descriptions in an Information System.’ International Journal of Semantic Computing 18, № 1: 51–75. doi: 10.1142/S1793351X24410034.
- Bender, Magnus; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2024. ‘ReFrESH – Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions.’ Contributed to the ICSC-24 18th IEEE International Conference on Semantic Computing, Laguna Hills. doi: 10.1109/ICSC59802.2024.00010.
- Luttermann, Malte; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2024. ‘Colour Passing Revisited: Lifted Model Construction with Commutative Factors.’ In AAAI-24 Proceedings of the 38th AAAI Conference on Artificial Intelligence, edited by Wooldridge, Michael; Dy, Jennifer; Natarajan Sriraam, 20500–20507. Palo Alto, CA: AAAI Press. doi: 10.1609/aaai.v38i18.30034.
2023
- Bender, Magnus; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2023. ‘Unsupervised Estimation of Subjective Content Descriptions.’ In ICSC-23 Proceedings of the 17th IEEE International Conference on Semantic Computing, edited by Bulterman, Dick; Kitazawa, Atsushi; Ostrowski, David; Sheu, Phillip; D'Auria, Daniela; Li, Kyle, 266–273. New York City: Wiley-IEEE Press. doi: 10.1109/ICSC56153.2023.00052.
- Bender, Magnus; Braun, Tanya; Möller, Ralf; Gehrke, Marcel. 2023. ‘LESS is More - LEan Computing for Selective Summaries.’ In Proceedings of the 46th German Conference on Artificial Intelligence, edited by Seipel, Dietmar; Steen , Alexander, 1–14. Heidelberg: Springer. doi: 10.1007/978-3-031-42608-7_1.
- Schütt, Yara; Liebenow, Johannes; Braun, Tanya; Gehrke, Marcel; Thaeter, Florian; Mohammadi, Esfandiar. 2023 DPM: Clustering Sensitive Data through Separation arXiv. doi: 10.48550/arXiv.2307.02969.
- Schütt, Yara; Liebenow, Johannes; Braun, Tanya; Gehrke, Marcel; Thaeter, Florian; Mohammadi, Esfandiar. ‘DPM: Clustering Sensitive Data through Separation.’ contributed to the PETS-23 Privacy Enhancing Technologies Symposium, Lausanne, 2023.
- Redzuan, Nadja; Möller, Ralf; Gehrke, Marcel; Braun, Tanya. 2023. ‘On Domain-specific Topic Modelling Using the Case of a Humanities Journal.’ Contributed to the CHAI 2023 3rd Workshop on Humanities-centred AI, co-located with KI 2023, Berlin.
2022
- Stender Mareike, Hartwig Mattis, Braun Tanya, Möller Ralf. 2022. ‘Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model.’ Contributed to the FLAIRS-35 The 35th International Conference of the Florida Artificial Intelligence Research Society, Hutchinson Island, Florida. doi: 10.32473/flairs.v35i.130682.
- Hoffmann, Moritz; Braun, Tanya; Möller, Ralf. 2022. ‘Lifted Division for Lifted Hugin Belief Propagation.’ In AISTATS-22 Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, edited by Camps-Valls, Gustau; Ruiz, Francisco J. R.; Valera, Isabel, 6501–6510. Digital: MLResearchPress.
- Braun, Tanya; Gehrke, Marcel; Lau, Florian; Möller, Ralf. 2022. ‘Lifting in Multi-agent Systems under Uncertainty.’ In UAI-22 Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, edited by Cussens, James; Zhang, Kun, 233–243. Red Hook, NY: Curran Associates.
- Bender, Magnus; Kuhr, Felix; Braun, Tanya. 2022. ‘To Extend or not to Extend? Enriching a Corpus with Complementary and Related Documents.’ International Journal of Semantic Computing 16, № 4: 521–545. doi: 10.1142/S1793351X2240013X.
- Braun, Tanya; Gehrke, Marcel. 2022. ‘Explainable and Explorable Decision Support.’ In Proceedings of the 27th International Conference on Conceptual Structures (ICCS 2022), edited by Braun, Tanya; Cristea, Diana; Jäschke, Robert, 99–114. Berlin: Springer Nature. doi: 10.1007/978-3-031-16663-1_8.
- Lau, Florian; Braun, Tanya; Möller, Ralf; Fischer, Stefan. 2022. ‘Using decPOMDPcoms to Holistically Model and Program Nanodevices and Emergent Nanonetworks.’ In NanoCom-22 Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication 2022, edited by Jornet, Josep Miquel; Pierobon, Massimiliano, 1–7. New York, NY: ACM Press. doi: 10.1145/3558583.3558814.
- Braun, Tanya; Cristea, Diana; Jäschke, Robert (Eds.): 2022. Graph-Based Representation and Reasoning. Berlin: Springer Nature. doi: 10.1007/978-3-031-16663-1.
- Braun, Tanya. 2022. ‘A Glimpse into Statistical Relational AI: The Power of Indistinguishability.’ In SUM-22 Proceedings of the 15th International Conference on Scalable Uncertainty Management, edited by Dupin de Saint-Cyr, Florence; Öztürk-Escoffier, Meltem; Potyka, Nico, 3–18. Berlin: Springer Nature. doi: 10.1007/978-3-031-18843-5_1.
- ‘Special Issue on Conceptual Structures’, edited by Alam, Mehwish; Braun, Tanya; Endres, Dominik; Yun, Bruno 2022. Annals of Mathematics and Artificial Intelligence 90.
- Gehrke, Marcel; Möller, Ralf; Braun, Tanya. 2022. ‘Who did it? Identifying the Most Likely Origins of Events.’ In PGM-22 Proceedings of the 11th International Conference on Probabilistic Graphical Models, edited by Salmerón, Antonio; Rumı́, Rafael, 217–228. Red Hook, NY: Curran Associates.
- Bender Magnus, Kuhr Felix, Braun Tanya, Möller Ralf. ‘Estimating Context-Specific Subjective Content Descriptions using BERT.’ contributed to the 16th IEEE International Conference on Semantic Computing, Virtual, 2022. doi: 10.1109/ICSC52841.2022.00034.
- Bender Magnus, Kuhr Felix, Braun Tanya. 2022. ‘To Extend or not to Extend? Complementary Documents.’ In ICSC-22 Proceedings of the 16th IEEE International Conference on Semantic Computing, edited by Bulterman, Dick; Kitazawa, Atsushi; Ostrowski, David; Sheu, Phillip; Tsai, Jeffrey; Bansal, Srividya; D'Auria, Daniela; Mertens, Robert, 17–24. New York City: Wiley-IEEE Press. doi: 10.1109/ICSC52841.2022.00011.
Scientific Talks
- Braun, Tanya 2023: “What’s Intelligence Got To Do With It? An Introduction into Artificial Intelligence Research”. Grand Rounds - Interdisziplinäres Klinikcurriculum, University Hospital Münster, Department of Mental Health, Dec 8, 2023.
- Bender, Magnus; Gehrke, Marcel; Braun, Tanya 2023: “Let's Talk about Palm Leaves - From Minimal Data to Text Understanding”. 46th German Conference on Artificial Intelligence, 26-29 September 2023, Berlin, Germany, Berlin, Sep 26, 2023.
- Braun, Tanya 2023: “On Domain-specific Topic Modelling Using the Case of a Humanities Journal”. CHAI 2023 3rd Workshop on Humanities-centred AI, co-located with KI 2023, Berlin, Sep 26, 2023.DOI: 10.25592/uhhfdm.13423.
- Braun, Tanya; Gehrke, Marcel; Wilhelm, Marco 2023: “Statistical Relational AI - Exploiting Symmetries”. 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Sep 4, 2023.
- Braun, Tanya 2023: “What’s Intelligence Got To Do With It? A Brief History and Overview of Artificial Intelligence Research”. German-Swiss Geodynamics Workshop, Haltern am See, Aug 29, 2023.
- Braun, Tanya 2022: “A Glimpse into Statistical Relalional AI - Indistinguishability for the Win!” GI Forum, Münster, Nov 15, 2022.
- Braun, Tanya 2022: “Inference Techniques for Resilience”. Resilienzkolloquium, Virtual, Nov 9, 2022.
- Braun, Tanya 2022: “The More, the Merrier: The Power of Relations for Probabilistic Graphical Models”. Woche der KI Lübeck, Lübeck, Nov 3, 2022.
- Braun, Tanya 2022: “A Glimpse into Statistical Relational AI: The Power of Indistinguishability”. 15th International Conference on Scalable Uncertainty Management, Paris, Oct 18, 2022.
- Braun, Tanya 2022: “Statistical Relational Artificial Intelligence and Robustness”. Workshop on Robust AI for High-stakes Applications co-located with KI 2022, Virtual, Sep 20, 2022.
- Braun, Tanya 2022: “Lifting in Multi-agent Systems under Uncertainty”. 38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Aug 2, 2022.
- Braun, Tanya 2022: “Lifted Division for Lifted Hugin Belief Propagation”. AISTATS-22 The 25th International Conference on Artificial Intelligence and Statistics, Virtual, Mar 29, 2022.
- Braun, Tanya 2022: “To Extend or not to Extend? Complementary Documents”. 2022 IEEE 16th International Conference on Semantic Computing (ICSC), Virtual, Jan 26, 2022.

Further Scientific Activities

Editorial
- Handbuch der Künstlichen Intelligenz, 6th edition, in collaboration with Günther Görz and Ute Schmid, publisher: De Gruyter, link to publisher book page here
- Special Issue on AI for Healthcare and the Public Sector, KI - Künstliche Intelligenz (German Journal of Artificial Intelligence), in collaboration with Ralf Möller, publisher: Springer
- Special Issue on Conceptual Structures, Annals of Mathematics and Artificial Intelligence, in collaboration with Mehwish Alam, Dominik Endres, and Bruno Yun, publisher: Springer
Conference organisation
- Special Track Uncertain Reasoning, 37th International FLAIRS Conference (FLAIRS 2024), Miramar Beack, Florida, USA, Track co-chair together with Kai Sauerwald, University of Hagen
- 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, Webauftritt
- 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
- 25th International Conference on Conceptual Strucutres, September 18-21, Bolzano, Italy (ICCS 2020), Co-Program Chair
Reviewing
- Conferences (PCs): AAAI, ECML, ICCS, IJCAI, ISWC, KI, KR, AISTATS
- Workshops: DL, FCR
- Journals: BDR, JAIR, KAIS, ML
Tutorials & Workshops
- Tutorials
- Workshops
Teaching

Lectures
- Introduction into Artificial Intelligence [EKI] (BA electoral, German, 3lect, 1ex, summer 2022)
- Data Science [DS] (BA electoral, German, 3lect, 1ex, start ~~planned in summer 2023~~ not yet determined)
- Databases [DB] (BA compulsory, German, 3lect, 2ex, start in summer 2023)
- Automated Planning and Acting [APA] (MA electoral, English, 3lect, 1ex, since winter 2021/22, alternating with StaRAI)
- Statistical Relational Artificial Intelligence [StaRAI] (MA electoral, , English, 3lect, 1ex, since winter 2022/23, alternating with APA)
A complete list of all teaching activities of the research group at the University of Münster as well as more details on newer iterations can be found under Teaching.

Thesis and Student Projects

A list of thesis projects can be found here.

Previous Teaching Activities

Lectures
- Intelligent Agents (MA electoral, English, 4lect, 2ex, winter 2020/21, together with Ralf Möller); part of lecture + exercises
- Advanced Topics Data Science and AI: Automated Planning and Acting (MA electoral, English, 2lect, 1ex, summer 2020); lecture + exercises
- MOBI-DBS-B: Database Systems, teaching assignment at the Otto-Friedrich-Universität Bamberg (BA compulsory, German, summer 2019)
Exercises
- Algorithms and Data Structures (BA compulsory, 2nd sem., German, summer, 4lect, 2ex, 2016-2019)
- Introduction to Web und Data Science (BA electoral / compulsory for 1st sem. students of Web and Data Science specialisation, German, winter, 2lect, 1ex, 2016/17-2019/20)
- Non-standard Databases and Data Mining (BA electoral / compulsory for 5th sem. students of Web and Data Science specialisation, German, winter, 4lect, 2ex, 2018/19-2019/20)
- Web-mining Agents (MA electoral, English, winter, 4lect, 2ex, 2015/16-2017/18)
Student Projects
- Moritz Hoffmann: Preparation of the project code of LJT and LDJT; see LJT Implementation and LDJT Implementation
- Florian Marwitz: Compactifing probability distributions for generating rules; see publication
- Tristan Potten: Framework for benchmarking algorithms for query answering in probabilistic models from generation of models to collecting statistics; see GitHub project and publication
Co-supervised Thesis Projects
- Moritz Hoffmann: Lifted Division of Parametric Factors for Lifted Inference (Master thesis; publication)
- Florian Marwitz: Compactification of Probabilistic Distributions (Bachelor thesis)

Short Bio

Research Foci

CV

Academic Education

Positions

Publications

2024

2023

2022

Scientific Talks

Further Scientific Activities

Editorial

Conference organisation

Reviewing

Tutorials & Workshops

Teaching

Lectures

Thesis and Student Projects

Previous Teaching Activities

Lectures

Exercises

Student Projects

Co-supervised Thesis Projects