3 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Parallel Neurosymbolic Integration with Concordia
Jonathan Feldstein, Modestas Jurčius, Efthymia Tsamoura
Parallel neurosymbolic architectures have been applied effectively in NLP by distilling knowledge from a logic theory into a deep model.However, prior art faces several limitations…
Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue
Efthymia Tsamoura, Jaehun Lee, Jacopo Urbani
The role of uncertainty in data management has become more prominent than ever before, especially because of the growing importance of machine learning-driven applications that pro…
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models
Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
Structure learning is a core problem in AI central to the fields of neuro-symbolic AI and statistical relational learning. It consists in automatically learning a logical theory fr…