5 citations · 6 across the 3 of their papers we have counts for
3 papers
Algebraic Model Counting
Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
Weighted model counting (WMC) is a well-known inference task on knowledge bases, used for probabilistic inference in graphical models. We introduce algebraic model counting (AMC),…
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference
Guy Van den Broeck, Arthur Choi, Adnan Darwiche
We propose an approach to lifted approximate inference for first-order probabilistic models, such as Markov logic networks. It is based on performing exact lifted inference in a si…
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…