2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.AI2019★ 2 cited
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…
cs.AI2018
Answering Hindsight Queries with Lifted Dynamic Junction Trees
Marcel Gehrke, Tanya Braun, Ralf Möller
The lifted dynamic junction tree algorithm (LDJT) efficiently answers filtering and prediction queries for probabilistic relational temporal models by building and then reusing a f…
cs.AI2018
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
Marcel Gehrke, Tanya Braun, Ralf Möller
The lifted dynamic junction tree algorithm (LDJT) efficiently answers filtering and prediction queries for probabilistic relational temporal models by building and then reusing a f…