Dr. rer. nat. Tanya Braun

- Wissenschaftliche Mitarbeiterin -

 

Institut für Informationssysteme
Universität zu Lübeck
Ratzeburger Allee 160 ( Gebäude 64 - 2.OG )
D-23562 Lübeck

Telefon: +49 451 3101 5708 
Fax : +49 451 3101 5704
email : Öffnet ein Fenster zum Versenden einer E-Mail E-Mail an Tanya Braun
 
 

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

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

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: AAAI, ECML (PC), ICCS (PC), IJCAI, ISWC, KI (PC)
  • Workshops: DL
  • 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.
  • 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

  • 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 Machine Learning Research, 2020
    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
    DOI BibTeX
  • Marcel Gehrke, Tanya Braun, Simon Polovina: Restricting the Maximum Number of Actions for Decision Support under Uncertaitny
    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,
    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
    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
    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
    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, 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: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, 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, 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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