International audience
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July 11, 2020 (v1)Conference paperUploaded on: December 4, 2022
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December 7, 2022 (v1)Conference paper
Recently, Logic Explained Networks (LENs) have been proposed as explainable-by-design neural models providing logic explanations for their predictions. However, these models have only been applied to vision and tabular data, and they mostly favour the generation of global explanations, while local ones tend to be noisy and verbose. For these...
Uploaded on: December 4, 2022 -
February 22, 2022 (v1)Conference paper
Explainable artificial intelligence has rapidly emerged since lawmakers have started requiring interpretable models for safety-critical domains. Concept-based neural networks have arisen as explainable-by-design methods as they leverage human-understandable symbols (i.e. concepts) to predict class memberships. However, most of these approaches...
Uploaded on: December 3, 2022