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

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

Übungsleitung

Wissenschaftliche Aktivitäten

Herausgeberschaft

Organisation

Eingeladene Vorträge

Tutorials

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

2024

  • Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke: Lifted Causal Inference in Relational Domains
    wird veröffentlicht in: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24), 2024, PMLR
    BibTeX
  • 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
    BibTeX
  • 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
    Website BibTeX
  • 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)
    DOI BibTeX
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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
    Website BibTeX
  • 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
    BibTeX
  • 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
    Website BibTeX
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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
    Website BibTeX
  • 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
    DOI Website BibTeX
  • 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
    DOI BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
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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
    DOI BibTeX
  • 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
    BibTeX
  • 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
    BibTeX
  • Tanya Braun, Marcel Gehrke, Tom Hanika, Nathalie Hernandez (Eds.): ICCS-21 Proceedings of the 26th International Conference on Conceptual Structures
    Springer, 2021
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
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2020

  • Günther Görz, Tanya Braun, Ute Schmid (Eds.): Handbuch der Künstlichen Intelligenz, 6. Auflage
    De Gruyter, 2020
    Website BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • Mehwish Alam, Tanya Braun, Bruno Yun (Eds.),: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures,
    Springer,, 2020,
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • Tanya Braun, Ralf Möller: Lifting Queries for Lifted Inference
    in: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
    DOI BibTeX
  • Tanya Braun,: Rescued from a Sea of Queries: Exact Inference in Probabilistic Relational Models,
    University of Lübeck,, 2020,, PhD thesis
    BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
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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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • Tanya Braun, Marcel Gehrke: Inference in Statistical Relational AI
    in: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, p.xvii-xix
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    Website BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
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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
    DOI BibTeX
  • 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
    DOI BibTeX
  • Tanya Braun, Ralf Möller: Adaptive Inference on Probabilistic Relational Models
    in: AI 2018: Advances in Artificial Intelligence, 2018, Springer, p.487-500
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    DOI BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    Website BibTeX
  • 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
    DOI BibTeX
  • Tanya Braun, Ralf Möller: Lifted Most Probable Explanation
    in: Proceedings of the International Conference on Conceptual Structures, 2018, Springer, p.39-54,
    DOI BibTeX
  • 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,
    DOI BibTeX
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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
    Website BibTeX
  • 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
    DOI BibTeX
  • 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
    Website BibTeX
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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
    DOI BibTeX
  • Tanya Braun, Ralf Möller: Lifted Junction Tree Algorithm
    IFIS, Universität zu Lübeck, 2016, Long version of the KI 2016 conference paper
    BibTeX
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