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Extending Logic Explained Networks to Text Classification


Nov 04, 2022
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Lio

* Accepted as short paper at the EMNLP 2022 conference 

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Concept Embedding Models


Sep 19, 2022
Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frederic Precioso, Stefano Melacci, Adrian Weller, Pietro Lio, Mateja Jamnik

* To appear at NeurIPS 2022 

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Encoding Concepts in Graph Neural Networks


Aug 07, 2022
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Lio


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Knowledge-driven Active Learning


Oct 15, 2021
Gabriele Ciravegna, Frederic Precioso, Marco Gori

* Submitted to the ICLR 2022 conference 

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Graph Neural Networks for Graph Drawing


Sep 21, 2021
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori

* Preprint, Under Review 

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Logic Explained Networks


Aug 11, 2021
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li贸, Marco Maggini, Stefano Melacci


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Entropy-based Logic Explanations of Neural Networks


Jun 22, 2021
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Li贸, Marco Gori, Stefano Melacci


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LENs: a Python library for Logic Explained Networks


May 25, 2021
Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Franscesco Giannini


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Gradient-based Competitive Learning: Theory


Sep 06, 2020
Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo

* 18 pages. arXiv admin note: text overlap with arXiv:2008.09477 

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