Möller, Ralf

17 publications

IJCAI 2025 Approximate Lifted Model Construction Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig

LoG 2025 Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs Malte Luttermann, Ralf Möller, Marcel Gehrke

AAAI 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke

CLeaR 2024 Lifted Causal Inference in Relational Domains Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller, Marcel Gehrke

AISTATS 2022 Lifted Division for Lifted Hugin Belief Propagation Moritz P. Hoffmann, Tanya Braun, Ralf Möller

UAI 2022 Lifting in Multi-Agent Systems Under Uncertainty Tanya Braun, Marcel Gehrke, Florian Lau, Ralf Möller

PGM 2022 Who Did It? Identifying the Most Likely Origins of Events Marcel Gehrke, Ralf Möller, Tanya Braun

IJCAI 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks Mattis Hartwig, Tanya Braun, Ralf Möller

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

PGM 2020 Lifted Query Answering in Gaussian Bayesian Networks Mattis Hartwig, Ralf Möller

IJCAI 2018 Lifted Maximum Expected Utility Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser

IJCAI 2018 Parameterised Queries and Lifted Query Answering Tanya Braun, Ralf Möller

IJCAI 2018 Towards Lifted Maximum Expected Utility Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser

JAIR 2017 Indirect Causes in Dynamic Bayesian Networks Revisited Alexander Motzek, Ralf Möller

JAIR 2016 PDT Logic: A Probabilistic Doxastic Temporal Logic for Reasoning About Beliefs in Multi-Agent Systems Karsten Martiny, Ralf Möller

IJCAI 2015 Indirect Causes in Dynamic Bayesian Networks Revisited Alexander Motzek, Ralf Möller

IJCAI 2001 High Performance Reasoning with Very Large Knowledge Bases: A Practical Case Study Volker Haarslev, Ralf Möller