Lifted probabilistic inference exploits symmetries in a probabilistic model to allow for
tractable probabilistic inference with respect to domain sizes. To apply lifted inference, a …

Privacy-preserving inference aims to avoid revealing identifying information about
individuals during inference. Lifted probabilistic inference works with groups of …

Lifting probabilistic graphical models and developing lifted inference algorithms aim to use
higher level groups of random variables instead of individual instances. In the past, many …

The lifted junction tree algorithm (LJT) is an inference algorithm that allows for tractable
inference regarding domain sizes. To answer multiple queries efficiently, it decomposes a …

In information technology settings, multiple sensors gather data over time. With many
sensors constantly sending data, manually analysing data is infeasible. Therefore, such data …

An effective decision support system requires a user's trust in its results, which are based on
expected utilities of different action plans. As such, a result needs to be explainable and …

Statistical relational artificial intelligence, StaRAI for short, focuses on combining reasoning
in uncertain environments with reasoning about individuals and relations in those …

Lifted inference allows to perform inference in polynomial time wrt domain sizes. For a lifted
algorithm, completeness investigates model classes for which the algorithm is guaranteed to …