Dr. rer. nat. Tanya Braun

- Wissenschaftliche Mitarbeiterin -

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 Seiten hier werden nicht mehr regelmäßig aktualisiert.

Publikationen am IFIS
Alle:DBLP
Alle:Google Scholar
Alle:Semantic Scholar

Curriculum Vitae

Seit November 2022 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)

Reviews

Konferenzen (PCs): AAAI, ECML, ICCS, IJCAI, ISWC, KI, KR, AISTATS
Workshops: DL, FCR
Journals: BDR, JAIR, KAIS, ML

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

2023

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
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
Magnus Bender, Tanya Braun, Ralf Möller, Marcel Gehrke: Unsupervised Estimation of Subjective Content Descriptions in an Information System
in: International Journal of Semantic Computing, 2023
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
Magnus Bender, Felix Kuhr, Tanya Braun: To Extend or not to Extend? Enriching a Corpus with Complementary and Related Documents
in: International Journal of Semantic Computing, 2022, Vol.16, (4), p.521-545
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
Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Möller: Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model
in: The 35. International FLAIRS Conference Proceedings, 2022, May
Moritz Hoffmann, Tanya Braun, Ralf Möller: Lifted Division for Lifted Hugin Belief Propagation,
in: AISTATS-22 Proceedings of the 25th International Conference on Artificial Intelligence and Statistics,, 2022,, PMLR, p.6501-6510
Magnus Bender, Felix Kuhr, Tanya Braun: To Extend or not to Extend? Complementary Documents
in: 16th IEEE International Conference on Semantic Computing, (ICSC 2022), Virtual, January 26-28, 2022, IEEE, p.17-24
Magnus Bender, Felix Kuhr, Tanya Braun, Ralf Möller: Estimating Context-Specific Subjective Content Descriptions using BERT
in: 16th IEEE International Conference on Semantic Computing, (ICSC 2022), Virtual, January 26-28, 2022, IEEE, p.171-172

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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
Tanya Braun, Stefan Fischer, Florian Lau, Ralf Möller: Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress
in: 10th International Workshop on Statistical Relational AI at the 1st International Joint Conference on Learning and Reasoning, 2021
Florian Marwitz, Tanya Braun, Ralf Möller: A First Step Towards Even More Sparse Encodings of Probability Distributions
in: ILP-21 Proceedings of the 30th International Conference on Inductive Logic Programming, 2021
Tanya Braun, Marcel Gehrke, Tom Hanika, Nathalie Hernandez (Eds.): ICCS-21 Proceedings of the 26th International Conference on Conceptual Structures
Springer, 2021
Mattis Hartwig, Tanya Braun, Ralf Möller: Handling Overlaps When Lifting Gaussian Bayesian Networks
in: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021, IJCAI Organization, Montreal, Kanada, p.4228-4234
Mareike Stender, Jan Graßhoff, Tanya Braun, Ralf Möller, Philipp Rostalski: A Hybrid Factor Graph Model for Biomedical Activity Detection
in: IEEE EMBS - International Conference on Biomedical and Health Informatics (BHI 2021), Athens, Greece, July 27-30, 2021, 2021, IEEE, p.1-4
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
Felix Kuhr, Matthis Lichtenberger, Tanya Braun, Ralf Möller: Enhancing Relational Topic Models with Named Entity Induced Links
in: Proceedings of 15th IEEE International Conference on Semantic Computing (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.314-317
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Context-specific Adaptation of Subjective Content Descriptions
in: 15th IEEE International Conference on Semantic Computing, (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.134-139
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

Günther Görz, Tanya Braun, Ute Schmid (Eds.): Handbuch der Künstlichen Intelligenz, 6. Auflage
De Gruyter, 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
Tristan Potten, Tanya Braun: Benchmarking Inference Algorithms for Probabilistic Relational Models
in: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures, 2020, Best Short Paper Award
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
Mehwish Alam, Tanya Braun, Bruno Yun (Eds.),: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures,
Springer,, 2020,
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
in: Int. J. Semantic Computing, 2020, Vol.14, (2), p.173-197
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
Tanya Braun, Ralf Möller: Lifting Queries for Lifted Inference
in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Tanya Braun,: Rescued from a Sea of Queries: Exact Inference in Probabilistic Relational Models,
University of Lübeck,, 2020,, PhD thesis
Tanya Braun, Ralf Möller: Exploring Unknown Universes in Probabilistic Relational Models
in: 9th International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence, 2020, Springer International Publishing, Vol.abs/2001.02021, p.91–-103
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
Felix Kuhr, Tanya Braun, Ralf Möller: Augmenting and Automating Corpus Enrichment
in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 2020, Best Student Paper Award
Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Maintaining Topic Models for Growing Corpora
in: Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20), 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
Tanya Braun, Ralf Möller: Exploring Unknown Universes in Probabilistic Relational Models
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.91-103
Felix Kuhr, Tanya Braun, Magnus Bender, Ralf Möller: To Extend or not to Extend? Context-specific Corpus Enrichment
in: Proceedings of AI 2019: Advances in Artificial Intelligence, 2019, Springer, p.357-368
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
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
Tanya Braun: StaRAI or StaRDB? - A Tutorial on Statistical Relational AI
in: BTW-19 Proceedings Datenbanksysteme für Business, Technologie und Web - Workshopband, 2019, Gesellschaft für Informatik, p.263-266

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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
Tanya Braun, Ralf Möller: Adaptive Inference on Probabilistic Relational Models
in: AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.487-500
Tanya Braun, Ralf Möller: Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
in: Proceedings of KI 2018: Advances in Artificial Intelligence, 2018, Springer, p.24-37
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
Tanya Braun, Ralf Möller: Parameterised Queries and Lifted Query Answering
in: IJCAI-18 Proceedings of the 27th International Joint Conference on Artificial Intelligence, 2018, International Joint Conferences on Artificial Intelligence Organization, p.4980-4986
Tanya Braun, Ralf Möller: Fusing First-order Knowledge Compilation and the Lifted 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: 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
Tanya Braun, Ralf Möller: Lifted Most Probable Explanation
in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.39-54,
Tanya Braun, Ralf Möller: Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm - Extended Version
in: Postproceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, 2018, Springer, p.54-72,

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2017

Tanya Braun, Felix Kuhr, Ralf Möller: 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), 2017, 25.-29.09., CEUR-WS.org, CEUR Workshop Proceedings, Vol.1928, p.23-30
Tanya Braun, Ralf Möller: Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm
in: KI 2017: Advances in Artificial Intelligence. KI 2017 - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, 2017, Springer, LNCS, Vol.10505, p.85-98
Tanya Braun, Ralf Möller: Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm
in: Graph Structures for Knowledge Representation and Reasoning - 5th International Workshop (GKR 2017), Melbourne, Australia, 2017, 21. August

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2016

Tanya Braun, Ralf Möller: Lifted Junction Tree Algorithm
in: KI 2016: Advances in Artificial Intelligence - 39th Annual German Conference on AI, Klagenfurt, Austria, September 26-30, 2016, 2016, Gerhard Friedrich, Malte Helmert, Franz Wotawa (Ed.), Springer, Lecture Notes in Computer Science, Vol.9904, p.30-42
Tanya Braun, Ralf Möller: Lifted Junction Tree Algorithm
IFIS, Universität zu Lübeck, 2016, Long version of the KI 2016 conference paper

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