Giannini, Francesco

19 publications

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

IJCAI 2025 Grounding Methods for Neural-Symbolic AI Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti

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

CoLLAs 2024 Tomorrow Brings Greater Knowledge: Large Language Models Join Dynamic Temporal Knowledge Graphs Christian Di Maio, Andrea Zugarini, Francesco Giannini, Marco Maggini, Stefano Melacci

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

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

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

AAAI 2020 A Constraint-Based Approach to Learning and Explanation Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori

IJCAI 2020 Human-Driven FOL Explanations of Deep Learning Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci

ECML-PKDD 2019 Integrating Learning and Reasoning with Deep Logic Models Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

ECML-PKDD 2019 LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori

AAAI 2018 Characterization of the Convex Łukasiewicz Fragment for Learning from Constraints Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini

ECML-PKDD 2017 Learning Łukasiewicz Logic Fragments by Quadratic Programming Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini