50 citations · 77 across the 7 of their papers we have counts for
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cs.LG2024
On GNN explanability with activation rules
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner +2
GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deploym…
cs.LG2022★ 50 cited
Low-complexity Approximate Convolutional Neural Networks
R. J. Cintra, S. Duffner, C. Garcia +1
In this paper, we present an approach for minimizing the computational complexity of trained Convolutional Neural Networks (ConvNet). The idea is to approximate all elements of a g…