Tanya Braun

Orcid: 0000-0003-0282-4284

According to our database1, Tanya Braun authored at least 66 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unsupervised Estimation of Subjective Content Descriptions in an Information System.
Int. J. Semantic Comput., March, 2024

Enhancement of Subjective Content Descriptions by using Human Feedback.
CoRR, 2024

An extended view on lifting Gaussian Bayesian networks.
Artif. Intell., 2024

ReFrESH - Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

Lifted Causal Inference in Relational Domains.
Proceedings of the Causal Learning and Reasoning, 2024

Colour Passing Revisited: Lifted Model Construction with Commutative Factors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DPM: Clustering Sensitive Data through Separation.
CoRR, 2023

Unsupervised Estimation of Subjective Content Descriptions.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

LESS is More: LEan Computing for Selective Summaries.
Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

On Domain-specific Topic Modelling Using the Case of a Humanities Journal.
Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 46th German Conference on Artificial Intelligence, September 26, 2023

2022
To Extend or Not to Extend? Enriching a Corpus with Complementary and Related Documents.
Int. J. Semantic Comput., 2022

Special issue on conceptual structures.
Ann. Math. Artif. Intell., 2022

Lifting in multi-agent systems under uncertainty.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Glimpse into Statistical Relational AI: The Power of Indistinguishability.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Estimating Context-Specific Subjective Content Descriptions using BERT.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

To Extend or not to Extend? Complementary Documents.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Who did it? Identifying the Most Likely Origins of Events.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Using decPOMDPcoms to holistically model and program nanodevices and emergent nanonetworks.
Proceedings of the NANOCOM '22: The Ninth Annual ACM International Conference on Nanoscale Computing and Communication, Barcelona, Catalunya, Spain, October 5, 2022

Explainable and Explorable Decision Support.
Proceedings of the Graph-Based Representation and Reasoning, 2022

Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Lifted Division for Lifted Hugin Belief Propagation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Identifying and Translating Subjective Content Descriptions Among Texts.
Int. J. Semantic Comput., 2021

Lifting DecPOMDPs for Nanoscale Systems - A Work in Progress.
CoRR, 2021

Enhancing Relational Topic Models with Named Entity Induced Links.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Context-specific Adaptation of Subjective Content Descriptions.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Identifying Subjective Content Descriptions among Texts.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

A First Step Towards Even More Sparse Encodings of Probability Distributions.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Handling Overlaps When Lifting Gaussian Bayesian Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Concept Drift Detection in Dynamic Probabilistic Relational Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Dynamic Domain Sizes in Temporal Probabilistic Relational Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

A Hybrid Factor Graph Model for Biomedical Activity Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Rescued from a sea of queries: Exact inference in probabilistic relational models.
PhD thesis, 2020

Augmenting and Automating Corpus Enrichment.
Int. J. Semantic Comput., 2020

Maintaining Topic Models for Growing Corpora.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Augmenting and Automating Corpus Enrichment.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Benchmarking Inference Algorithms for Probabilistic Relational Models.
Proceedings of the Ontologies and Concepts in Mind and Machine, 2020

Restricting the Maximum Number of Actions for Decision Support Under Uncertainty.
Proceedings of the Ontologies and Concepts in Mind and Machine, 2020

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Taming Reasoning in Temporal Probabilistic Relational Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Lifting Queries for Lifted Inference.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Einleitung.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
Lifted Temporal Most Probable Explanation.
Proceedings of the Graph-Based Representation and Reasoning, 2019

Which Patient to Treat Next? Probabilistic Stream-Based Reasoning for Decision Support and Monitoring.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Relational Forward Backward Algorithm for Multiple Queries.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

StaRAI or StaRDB? - A Tutorial on Statistical Relational AI.
Proceedings of the Datenbanksysteme für Business, 2019

To Extend or Not to Extend? Context-Specific Corpus Enrichment.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Efficient Multiple Query Answering in Switched Probabilistic Relational Models.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Exploring Unknown Universes in Probabilistic Relational Models.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Lifted Temporal Maximum Expected Utility.
Proceedings of the Advances in Artificial Intelligence, 2019

Uncertain Evidence for Probabilistic Relational Models.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Answering Hindsight Queries with Lifted Dynamic Junction Trees.
CoRR, 2018

Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Fusing First-Order Knowledge Compilation and the Lifted Junction Tree Algorithm.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Lifted Maximum Expected Utility.
Proceedings of the Artificial Intelligence in Health - First International Workshop, 2018

Towards lifted maximum expected utility.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Parameterised Queries and Lifted Query Answering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Lifted Dynamic Junction Tree Algorithm.
Proceedings of the Graph-Based Representation and Reasoning, 2018

Lifted Most Probable Explanation.
Proceedings of the Graph-Based Representation and Reasoning, 2018

Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Adaptive Inference on Probabilistic Relational Models.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Unsupervised Text Annotation.
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

Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2017

2016
Lifted Junction Tree Algorithm.
Proceedings of the KI 2016: Advances in Artificial Intelligence, 2016


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