Dr. rer. nat. Tanya Braun

- Research Associate -

ATTENTION: On 1. November 2021, I joined the WWU Münster (news post by WWU Münster [in German]).

My new web presense can be found here: https://www.uni-muenster.de/Informatik.AGBraun/

The pages here will not be updated regularly.

Publications@IFIS
All:DBLP
All:Google Scholar
All:Semantic Scholar

Curriculum Vitae

Since November 2021: Assistant professor at WWU Münster
February 2020: PhD (thesis, colloquium slides)
December 2015 - October 2021: Research assistant at the Institute of Information Systems of the University of Lübeck
September 2015: M.Sc. in Computational Informatics, University of Technology Hamburg
August 2009: B.A. hons in Business Administration, University of Sunderland

Research Interests

My research interests lie in the following fields:

Statistical relational AI (StarAI), specifically, probabilistic inference in relational domains
Text understanding, specifically, annotations and context representations
Human-aware AI, specifically, online decision making in human-aware agents

My PhD thesis belongs to the field of StarAI topic-wise and concentrates on the Lifted Junction Tree Algorithm (LJT). You can find more information about LJT here.

Teaching

Please find my current teaching activity here.

Lecture

Intelligent Agents (MA, 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, English, 2lect, 1ex, summer 2020); lecture + exercises
MOBI-DBS-B: Database Systems, teaching assignment at the Otto-Friedrich-Universität Bamberg (BA, German, summer 2019)

Exercises

Algorithms and data structures (BA 2nd sem., German, summer, 4lect, 2ex, 2016-2019)
Introduction to Web und Data Science (BA 1st sem., German, winter, 2lect, 1ex, 2016/17-2019/20)
Non-standard data bases and data mining (BA 5th sem., German, winter, 4lect, 2ex, 2018/19-2019/20)
Web mining agents (MA, English, winter, 4lect, 2ex, 2015/16-2017/18)

Research Activities

Editorial

Handbuch der Künstlichen Intelligenz, 6th edition, in collaboration with Günther Görz and Ute Schmid, publisher: De Gruyter, link to publisher book page
Special Issue on Conceptual Structures 2020, Annals of Mathematics and Artificial Intelligence, in collaboration with Mehwish Alam, Dominik Endres, and Bruno Yun, publisher: 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-Programme Chair (call)

Invited Talks

Geoinformatik Forum with the title "A Glimpse into Statistical Relational AI - Indistinguishability for the Win!", slides here
WWU Resilienzkolloquium with the title "Inference Techniques for Resilience", 9.11.2022, slides here
Woche der KI Lübeck with the title "The More, the Merrier: The Power of Relations for Probabilistic Graphical Models", 3.11.2022, slices here
Talk at the workshop "Robust AI for High-stakes Applications@KI-22" with the title "Statistical Relational AI and Robustness", 20.09.2022, virtual, slides here
Talk at the workshop "Data Linking for Humanities Research" with the title "To Extend or Not to Extend? Context-driven Corpus Enrichment", 21.10.2019, Hamburg, slides here
Presentation of the research project LJT at the Institute for Electrical Engineering in Medicine, 16.1.2018, Lübeck, slides here

Tutorials

Invited: A Glimpse into Statistical Relational AI: The Power of Indistinguishability, at SUM 2022, Octover 18, 2022, website here
StaRAI - Semantics and Symmetries in Exact Lifted Inference, at ECAI 2020, in collaboration with Marcel Gehrke, August 29-30, 2020
StaRAI - Semantics and Inference at the FLAIRS-33, in collaboration with Marcel Gehrke, Prof. Dr. Gabriele Kern-Isberner and Marco Wilhelm, 17.-20.05.2020 (FLAIRS-33 got cancelled)
Dynamic StarAI at the KI 2019 in collaboration with Marcel Gehrke and Ralf Möller, September 23-26, 2019
Inference in Statistical Relational AI at the ICCS 2019 in collaboration with Marcel Gehrke, July 01-04, 2019
StarAI or StarDB? at the BTW 2019, March 4, 2019
StarAI at the KI-18 in collaboration with Kristian Kersting und Ralf Möller, September 24, 2018 (slides available here)

Slides for Conference/Workshop papers (for papers where I gave the talk; name of the link refers to the title of the paper)

Reviews

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

Student Projects

Moritz Hoffmann: Preparation of the project code of LJT and LDJT; see LJT Implementation und LDJT Implementation.
Florian Marwitz: Compactifing probability distributions for generating rules.
Tristan Potten: Framework for benchmarking algorithms for query answering in probabilistic models from generation of models to collecting statistics; see GitHub project and publication.

Publications

2024

Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke: Lifted Causal Inference in Relational Domains
in: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24), 2024, PMLR
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, Vol.38, p.20500-20507
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
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)

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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
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: 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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