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Neuron Activation-based Computation of Logical Explanations for Deep Neural Networks
Formal explainability of classifying neural networks (NNs) is an active area of research, providing explanations with provable guarantees of the classification within continuous regions of the input feature space. However, the existing techniques are either limited to individual input features witho
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