Barbiero, Pietro

29 publications

ICML 2025 Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik
ICLR 2025 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
ICLRW 2025 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
NeurIPS 2025 Causally Reliable Concept Bottleneck Models Giovanni De Felice, Arianna Casanova, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine
ICLRW 2025 Causally Reliable Concept Bottleneck Models Giovanni De Felice, Arianna Casanova, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine
ICLR 2025 Counterfactual Concept Bottleneck Models Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
ICLRW 2025 Counterfactual Concept Bottleneck Models Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
NeurIPS 2025 Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
NeurIPS 2025 FLUX: Efficient Descriptor-Driven Clustered Federated Learning Under Arbitrary Distribution Shifts Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
MLJ 2025 Linearly-Interpretable Concept Embedding Models for Text Analysis Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
NeurIPS 2025 Scalable Evaluation and Neural Models for Compositional Generalization Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
ECML-PKDD 2025 Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano
NeurIPS 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
NeurIPS 2024 Interpretable Concept-Based Memory Reasoning David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
NeurIPS 2024 Relational Concept Bottleneck Models Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
ICMLW 2023 Bridging Equational Properties and Patterns on Graphs: An AI-Based Approach Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini
NeurIPSW 2023 Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Nikola Simidjievski
NeurIPSW 2023 From Charts to Atlas: Merging Latent Spaces into One Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Lio, Emanuele Rodolà
ICLRW 2023 GCI: A (G)raph (C)oncept (I)nterpretation Framework Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Lio
AAAI 2023 Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
ICLR 2023 Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini
NeurIPS 2023 Interpretable Graph Networks Formulate Universal Algebra Conjectures Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
ICML 2023 Interpretable Neural-Symbolic Concept Reasoning Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra
ICMLW 2023 Interpretable Neural-Symbolic Concept Reasoning Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra
NeurIPSW 2023 SHARCS: Shared Concept Space for\\Explainable Multimodal Learning Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Lio, Nikola Simidjievski
AAAI 2023 Towards Robust Metrics for Concept Representation Evaluation Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
AAAI 2022 Algorithmic Concept-Based Explainable Reasoning Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
NeurIPS 2022 Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frederic Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik
AAAI 2022 Entropy-Based Logic Explanations of Neural Networks Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci