Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (Australasian Conference on Artificial Intelligence, 2018)

Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (Australasian Conference on Artificial Intelligence, 2018)

Efficient Enriching of Synthesized Relational Patient Data with Time Series Data. - Simon Schiff; Marcel Gehrke; Ralf Möller 001 (EUSPN/ICTH, 2018)

Lifted Dynamic Junction Tree Algorithm. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (ICCS, 2018)

Towards lifted maximum expected utility. - Marcel Gehrke; Tanya Braun; Ralf Möller 001; Alexander Waschkau; Christoph Strumann; Jost Steinhäuser (AIH@IJCAI, 2018)

Lifted Maximum Expected Utility. - Marcel Gehrke; Tanya Braun; Ralf Möller 001; Alexander Waschkau; Christoph Strumann; Jost Steinhäuser (AIH@IJCAI (Revised Selected Papers), 2018)

Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (KI, 2018)

Answering Hindsight Queries with Lifted Dynamic Junction Trees. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (CoRR, 2018)

Uncertain Evidence for Probabilistic Relational Models. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (Canadian AI, 2019)

Lifted Temporal Maximum Expected Utility. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (Canadian AI, 2019)

Efficient Multiple Query Answering in Switched Probabilistic Relational Models. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (Australasian Conference on Artificial Intelligence, 2019)

Relational Forward Backward Algorithm for Multiple Queries. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (FLAIRS, 2019)

Which Patient to Treat Next? Probabilistic Stream-Based Reasoning for Decision Support and Monitoring. - Marcel Gehrke; Simon Schiff; Tanya Braun; Ralf Möller 001 (ICBK, 2019)

Approximate Query Answering in Complex Gaussian Mixture Models. - Mattis Hartwig; Marcel Gehrke; Ralf Möller 001 (ICBK, 2019)

Lifted Temporal Most Probable Explanation. - Marcel Gehrke; Tanya Braun; Ralf Möller 001 (ICCS, 2019)

Taming Reasoning in Temporal Probabilistic Relational Models. - Marcel Gehrke; Ralf Möller 001; Tanya Braun (ECAI, 2020)

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging. - Stefan Lüdtke; Marcel Gehrke; Tanya Braun; Ralf Möller 001; Thomas Kirste (ECAI, 2020)

Restricting the Maximum Number of Actions for Decision Support Under Uncertainty. - Marcel Gehrke; Tanya Braun; Simon Polovina (ICCS, 2020)

Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping. - Nils Finke; Marcel Gehrke; Tanya Braun; Tristan Potten; Ralf Möller 001 (PGM, 2020)

Dynamic Domain Sizes in Temporal Probabilistic Relational Models. - Nils Finke; Tanya Braun; Marcel Gehrke; Ralf Möller 001 (FLAIRS, 2021)

Concept Drift Detection in Dynamic Probabilistic Relational Models. - Nils Finke; Tanya Braun; Marcel Gehrke; Ralf Möller 001 (FLAIRS, 2021)

Identifying Subjective Content Descriptions among Texts. - Magnus Bender; Tanya Braun; Marcel Gehrke; Felix Kuhr; Ralf Möller 001; Simon Schiff (ICSC, 2021)

On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm. - Marcel Gehrke (CoRR, 2021)

Identifying and Translating Subjective Content Descriptions Among Texts. - Magnus Bender; Tanya Braun; Marcel Gehrke; Felix Kuhr; Ralf Möller 001; Simon Schiff (Int. J. Semantic Comput., 2021)

Explainable and Explorable Decision Support. - Tanya Braun; Marcel Gehrke (ICCS, 2022)

Who did it? Identifying the Most Likely Origins of Events. - Marcel Gehrke; Ralf Möller 001; Tanya Braun (PGM, 2022)

Lifting in multi-agent systems under uncertainty. - Tanya Braun; Marcel Gehrke; Florian Lau; Ralf Möller 001 (UAI, 2022)

Taming exact inference in temporal probabilistic relational models. - Marcel Gehrke (2022)

FrESH - Feedback-reliant Enhancement of Subjective Content Descriptions by Humans. - Magnus Bender; Kira Schwandt; Ralf Möller 001; Marcel Gehrke (CHAI@KI, 2023)

On Domain-specific Topic Modelling Using the Case of a Humanities Journal. - Nadja Redzuan; Ralf Möller 001; Marcel Gehrke; Tanya Braun (CHAI@KI, 2023)

Lifting Factor Graphs with Some Unknown Factors. - Malte Luttermann; Ralf Möller 001; Marcel Gehrke (ECSQARU, 2023)

PETS: Predicting Efficiently Using Temporal Symmetries in Temporal PGMs. - Florian Andreas Marwitz; Ralf Möller 001; Marcel Gehrke (ECSQARU, 2023)

LESS is More: LEan Computing for Selective Summaries. - Magnus Bender; Tanya Braun; Ralf Möller 001; Marcel Gehrke (KI, 2023)

Unsupervised Estimation of Subjective Content Descriptions. - Magnus Bender; Tanya Braun; Ralf Möller 001; Marcel Gehrke (ICSC, 2023)

Colour Passing Revisited: Lifted Model Construction with Commutative Factors. - Malte Luttermann; Tanya Braun; Ralf Möller 001; Marcel Gehrke (AAAI, 2024)

$DPM: $ Clustering Sensitive Data through Separation. - Johannes Liebenow; Yara Schütt; Tanya Braun; Marcel Gehrke; Florian Thaeter; Esfandiar Mohammadi (CCS, 2024)

Lifted Causal Inference in Relational Domains. - Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller 001; Marcel Gehrke (CLeaR, 2024)

Efficient Detection of Exchangeable Factors in Factor Graphs. - Malte Luttermann; Johann Machemer; Marcel Gehrke (FLAIRS, 2024)

Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs. - Malte Luttermann; Ralf Möller 001; Marcel Gehrke (LoG, 2024)

Efficient Detection of Commutative Factors in Factor Graphs. - Malte Luttermann; Johann Machemer; Marcel Gehrke (PGM, 2024)

ReFrESH - Relation-preserving Feedback-reliant Enhancement of Subjective Content Descriptions. - Magnus Bender; Tanya Braun; Ralf Möller 001; Marcel Gehrke (ICSC, 2024)

On the Completeness and Complexity of Lifted Temporal Inference. - Marcel Gehrke (SUM, 2024)

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs. - Malte Luttermann; Tanya Braun; Ralf Möller 001; Marcel Gehrke (SUM, 2024)

Unsupervised Estimation of Subjective Content Descriptions in an Information System. - Magnus Bender; Tanya Braun; Ralf Möller 001; Marcel Gehrke (Int. J. Semantic Comput., 2024)

Dissertation Abstract: Taming Exact Inference in Temporal Probabilistic Relational Models. - Marcel Gehrke (Künstliche Intell., 2024)

Lifting in Support of Privacy-Preserving Probabilistic Inference. - Marcel Gehrke; Johannes Liebenow; Esfandiar Mohammadi; Tanya Braun (Künstliche Intell., 2024)

Lifting factor graphs with some unknown factors for new individuals. - Malte Luttermann; Ralf Möller 001; Marcel Gehrke (Int. J. Approx. Reason., 2025)

PETS: Predicting efficiently using temporal symmetries in temporal probabilistic graphical models. - Florian Andreas Marwitz; Ralf Möller 001; Marcel Gehrke (Int. J. Approx. Reason., 2025)

Enhancement of Subjective Content Descriptions by Using Human Feedback. - Magnus Bender; Tanya Braun; Ralf Möller 001; Marcel Gehrke (Int. J. Semantic Comput., 2025)

Approximate Lifted Model Construction. - Malte Luttermann; Jan Speller; Marcel Gehrke; Tanya Braun; Ralf Möller 001; Mattis Hartwig (CoRR, 2025)

Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions. - Florian Andreas Marwitz; Tanya Braun; Ralf Möller 001; Marcel Gehrke (CoRR, 2025)

Compression versus Accuracy: A Hierarchy of Lifted Models. - Jan Speller; Malte Luttermann; Marcel Gehrke; Tanya Braun (CoRR, 2025)

Denoising the Future: Top-p Distributions for Moving Through Time. - Florian Andreas Marwitz; Ralf Möller 001; Magnus Bender; Marcel Gehrke (CoRR, 2025)