Pietro Barbiero

Former Member
Publications
Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice (2026). Federated Concept-Based Models: Interpretable models with distributed supervision. CoRR.
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Giovanni de Felice, Riccardo D'Elia, Alberto Termine, Pietro Barbiero, Giuseppe Marra, Silvia Santini (2026). Interpretability in Deep Time Series Models Demands Semantic Alignment. CoRR.
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Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich (2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
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Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich (2025). A Survey on Federated Learning in Human Sensing. CoRR.
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Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik (2025). Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025.
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Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik (2025). Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. CoRR.
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Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicolò Navarin (2025). Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, KR 2025, Melbourne, Australia, November 11-17, 2025.
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Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine (2025). Causally Reliable Concept Bottleneck Models. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
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Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine (2025). Causally Reliable Concept Bottleneck Models. CoRR.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu (2025). Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. CoRR.
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Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski (2025). FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR.
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Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Mateja Jamnik, Giuseppe Marra (2025). Foundations of Interpretable Models. CoRR.
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Nicola Debole, Pietro Barbiero, Francesco Giannini, Andrea Passerini, Stefano Teso, Emanuele Marconato (2025). If Concept Bottlenecks are the Question, are Foundation Models the Answer?. CoRR.
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David Debot, Pietro Barbiero, Gabriele Dominici, Giuseppe Marra (2025). Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning. CoRR.
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Rodrigo Castellano Ontiveros, Ehsan Bonabi Mobaraki, Francesco Giannini, Pietro Barbiero, Marco Gori, Michelangelo Diligenti (2025). Interpretable Link Prediction via Neural-Symbolic Reasoning. Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part II.
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli (2025). Linearly-interpretable concept embedding models for text analysis. Mach. Learn..
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Stefano Fioravanti, Francesco Giannini, Paolo Frazzetto, Fabio Zanasi, Pietro Barbiero (2025). Logic Explanation of AI Classifiers by Categorical Explaining Functors. CoRR.
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Pietro Barbiero, Giuseppe Marra, Gabriele Ciravegna, David Debot, Francesco De Santis, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Francesco Giannini (2025). Neural Interpretable Reasoning. CoRR.
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Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi (2025). Scalable Evaluation and Neural Models for Compositional Generalization. CoRR.
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano (2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III.
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli (2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. CoRR.
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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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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich (2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024.
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