2021

• Felix Kuhr, Matthis Lichtenberger, Tanya Braun, Ralf Möller: Enhancing Relational Topic Models with Named Entity Induced Links
  in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
  
• Felix Kuhr, Magnus Bender, Tanya Braun, Ralf Möller: Context-specific Adaptation of Subjective Content Descriptions
  in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
  
• Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions among Text
  in: Proceedings of the 15th IEEE International Conference on Semantic Computing (ICSC-21), 2021
  

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 Machine Learning Research, 2020
  
• Tristan Potten, Tanya Braun: Benchmarking Inference Algorithms for Probabilistic Relational Models
  in: ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures, 2020
  
• 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
  
• 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
  
• 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
  
• 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
  

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
  
• 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: Proceedings of the International Conference on Conceptual Structures 2019, 2019, Springer, 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, 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
  

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
  :

  @inproceedings{GehBrMo18b,
    author = {Marcel Gehrke and Tanya Braun and Ralf M\"oller}, 
    title = {{Answering Hindsight Queries with Lifted Dynamic Junction Trees}}, 
    booktitle = {8th International Workshop on Statistical Relational AI at the 27th International Joint Conference on Artificial Intelligence}, 
    year = {2018},
    url = {https://arxiv.org/abs/1807.01586}
  }

• 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,
  

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
  

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