393 citations · 634 across the 19 of their papers we have counts for
3 papers · 1 filter
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi, David Poole
Statistical relational AI (StarAI) aims at reasoning and learning in noisy domains described in terms of objects and relationships by combining probability with first-order logic.…
Domain Recursion for Lifted Inference with Existential Quantifiers
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck +1
In recent work, we proved that the domain recursion inference rule makes domain-lifted inference possible on several relational probability models (RPMs) for which the best known t…
Comparing Aggregators for Relational Probabilistic Models
Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim +5
Relational probabilistic models have the challenge of aggregation, where one variable depends on a population of other variables. Consider the problem of predicting gender from mov…