39 citations · 102 across the 36 of their papers we have counts for
3 papers · 1 filter
Stacked Structure Learning for Lifted Relational Neural Networks
Gustav Sourek, Martin Svatos, Filip Zelezny +2
Lifted Relational Neural Networks (LRNNs) describe relational domains using weighted first-order rules which act as templates for constructing feed-forward neural networks. While p…
Relational Marginal Problems: Theory and Estimation
Ondrej Kuzelka, Yuyi Wang, Jesse Davis +1
In the propositional setting, the marginal problem is to find a (maximum-entropy) distribution that has some given marginals. We study this problem in a relational setting and make…
Induction of Interpretable Possibilistic Logic Theories from Relational Data
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
The field of Statistical Relational Learning (SRL) is concerned with learning probabilistic models from relational data. Learned SRL models are typically represented using some kin…