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Interpretable Neural-Symbolic Concept Reasoning.

, , , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 1801-1825. PMLR, (2023)

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Gianni Barbiero

Pietro Cortona

Pietro Moretto

Stefano Pietro

Pietro Cavallotti

 

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Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis., , , , и . CoRR, (2022)Predictable Features Elimination: An Unsupervised Approach to Feature Selection., , и . LOD, том 13163 из Lecture Notes in Computer Science, стр. 399-412. Springer, (2021)Interpretable Neural-Symbolic Concept Reasoning., , , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 1801-1825. PMLR, (2023)Self-supervised Interpretable Concept-based Models for Text Classification., , , , , и . CoRR, (2024)Discovering Hierarchical Neural Archetype Sets., , , , и . IIH-MSP (1), том 81 из Smart Innovation, Systems and Technologies, стр. 255-267. Springer, (2017)GCI: A (G)raph (C)oncept (I)nterpretation Framework., , , , , и . CoRR, (2023)LENs: a Python library for Logic Explained Networks., , , и . CoRR, (2021)Concept Embedding Models., , , , , , , , , и 2 other автор(ы). CoRR, (2022)Entropy-Based Logic Explanations of Neural Networks., , , , , и . AAAI, стр. 6046-6054. AAAI Press, (2022)Interpretable Neural-Symbolic Concept Reasoning., , , , , , , , , и . NeSy, том 3432 из CEUR Workshop Proceedings, стр. 422-423. CEUR-WS.org, (2023)