89 citations · 113 across the 11 of their papers we have counts for
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cs.LG2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
State-of-the-art approaches to reasoning and question answering over knowledge graphs (KGs) usually scale with the number of edges and can only be applied effectively on small inst…
cs.LG2021★ 2 cited
What training reveals about neural network complexity
Andreas Loukas, Marinos Poiitis, Stefanie Jegelka
This work explores the Benevolent Training Hypothesis (BTH) which argues that the complexity of the function a deep neural network (NN) is learning can be deduced by its training d…