Pietro Lio

Publications
Francesco Prinzi, Pietro Barbiero, Claudia Greco, Terry Amorese, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito (2025). Using AI explainable models and handwriting/drawing tasks for psychological well-being. Inf. Syst..
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Francesco Giannini, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore (2024). Categorical Foundation of Explainable AI: A Unifying Theory. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
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Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore (2023). Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR.
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Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò (2023). Concept Distillation in Graph Neural Networks. Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III.
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Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò (2023). Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR.
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Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski (2023). Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR.
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Francesco Prinzi, Gennaro Raimo, Pietro Barbiero, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito (2023). Explainable Depression Detection Using Handwriting Features. Advanced Neural Artificial Intelligence: Theories and Applications, selected papers presented at the International Workshops on Neural Network (WIRN 2023), Vietri sul Mare, Italy.
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Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà (2023). From charts to atlas: Merging latent spaces into one. NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 16 December 2023, New Orleans, Lousiana, USA.
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Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà (2023). From Charts to Atlas: Merging Latent Spaces into One. CoRR.
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Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò (2023). GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR.
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Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò (2023). Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023.
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Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini (2023). Global Explainability of GNNs via Logic Combination of Learned Concepts. The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.
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Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra (2023). Interpretable Neural-Symbolic Concept Reasoning. Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023.
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Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci (2023). Logic Explained Networks. Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023.
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Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci (2023). Logic Explained Networks. Artif. Intell..
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Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski (2023). SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR.
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