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20222026
most citedA Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks

3 citations · 7 across the 5 of their papers we have counts for

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cs.AI2024

Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs

Matthew L. Daggitt, Wen Kokke, Robert Atkey +3

Neuro-symbolic programs, i.e. programs containing both machine learning components and traditional symbolic code, are becoming increasingly widespread. Finding a general methodolog…

cs.AI2022★ 1 cited

Differentiable Logics for Neural Network Training and Verification

Natalia Slusarz, Ekaterina Komendantskaya, Matthew L. Daggitt +1

The rising popularity of neural networks (NNs) in recent years and their increasing prevalence in real-world applications have drawn attention to the importance of their verificati…