3 citations · 7 across the 5 of their papers we have counts for
5 papers
A First Step Towards Even More Sparse Encodings of Probability Distributions
Florian Andreas Marwitz, Tanya Braun, Ralf Möller
Real world scenarios can be captured with lifted probability distributions. However, distributions are usually encoded in a table or list, requiring an exponential number of values…
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
Björn Filter, Ralf Möller, Özgür Lütfü Özçep
Collaborative causal inference (CCI) is a federated learning method for pooling data from multiple, often self-interested, parties, to achieve a common learning goal over causal st…
Exploring Unknown Universes in Probabilistic Relational Models
Tanya Braun, Ralf Möller
Large probabilistic models are often shaped by a pool of known individuals (a universe) and relations between them. Lifted inference algorithms handle sets of known individuals for…
Taming Reasoning in Temporal Probabilistic Relational Models
Marcel Gehrke, Ralf Möller, Tanya Braun
Evidence often grounds temporal probabilistic relational models over time, which makes reasoning infeasible. To counteract groundings over time and to keep reasoning polynomial by…
Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)
Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis +10
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diag…