72 citations · 127 across the 4 of their papers we have counts for
4 papers
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language
Nima Taghipour, Daan Fierens, Jesse Davis +1
Lifted probabilistic inference algorithms exploit regularities in the structure of graphical models to perform inference more efficiently. More specifically, they identify groups o…
Lifted Variable Elimination: A Novel Operator and Completeness Results
Nima Taghipour, Daan Fierens, Guy Van den Broeck +2
Various methods for lifted probabilistic inference have been proposed, but our understanding of these methods and the relationships between them is still limited, compared to their…
Inference in Probabilistic Logic Programs using Weighted CNF's
Daan Fierens, Guy Van den Broeck, Ingo Thon +2
Probabilistic logic programs are logic programs in which some of the facts are annotated with probabilities. Several classical probabilistic inference tasks (such as MAP and comput…
Improving the Efficiency of Approximate Inference for Probabilistic Logical Models by means of Program Specialization
Daan Fierens
We consider the task of performing probabilistic inference with probabilistic logical models. Many algorithms for approximate inference with such models are based on sampling. From…