GlanceNets: Interpretable, Leak-proof Concept-based Models - researchr publication authors

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Emanuele Marconato, Andrea Passerini, Stefano Teso. GlanceNets: Interpretable, Leak-proof Concept-based Models. In Artur S. d'Avila Garcez, Tarek R. Besold, Marco Gori, Ernesto Jiménez-Ruiz, editors, Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023. Volume 3432 of CEUR Workshop Proceedings, pages 410, CEUR-WS.org, 2023. [doi]

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