Tanya Braun, M. Sc.

- Research Associate -

 

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 for Tanya Braun
 
 

Curriculum Vitae

Research Interests

For my PhD, I work on the topic mentioned below, which has led to the development of the Lifted Junction Tree Algorithm. You can find more information about LJT here.

  • Probabilistic relational models
  • Lifted Inference
  • Query answering under uncertainty

Teaching

Exercises

  • Algorithms and data structures (BA 2nd sem., German, summer, 4lect, 2ex, since 2016)
  • Introduction to Web und Data Science (BA 1st sem., German, winter, 2lect, 1ex, since 2016)
  • Non-standard data bases and data mining (BA 5th sem., German, winter, 4lect, 2ex, since 2018)
  • Web mining agents (MA, englisch, winter, 4lect, 2ex, 2015-2017)

Research Activities

Review Activities

  • Conferences: AAAI, ICCS (PC), IJCAI, ISWC
  • Journals: KAISBDR

Tutorial

Publications

2018

  • Marcel Gehrke, Tanya Braun, Ralf Möller: Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
    to be published in: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, 2018, Springer
    BibTeX
  • Marcel Gehrke, Tanya Braun, Ralf Möller: Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
    to be published in: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, 2018, Springer
    BibTeX
  • Tanya Braun, Ralf Möller: Adaptive Inference on Probabilistic Relational Models
    to be published in: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, 2018, Springer
    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
    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
  • 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
    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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