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Francesco Giannini
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Concept embedding models: Beyond the accuracy-explainability trade-off
M Espinosa Zarlenga, P Barbiero, G Ciravegna, G Marra, F Giannini, ...
Advances in Neural Information Processing Systems 35, 21400-21413, 2022
94*2022
Entropy-based logic explanations of neural networks
P Barbiero, G Ciravegna, F Giannini, P Lió, M Gori, S Melacci
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6046-6054, 2022
702022
Integrating learning and reasoning with deep logic models
G Marra, F Giannini, M Diligenti, M Gori
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
662019
Lyrics: A general interface layer to integrate logic inference and deep learning
G Marra, F Giannini, M Diligenti, M Gori
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
62*2019
Logic explained networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci
Artificial Intelligence 314, 103822, 2023
592023
Relational neural machines
M Marra, Giuseppe and Diligenti, Michelangelo and Giannini, Francesco and ...
ECAI 2020, 1340-1347, 2020
57*2020
Human-Driven FOL Explanations of Deep Learning.
G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci
IJCAI, 2234-2240, 2020
382020
On a convex logic fragment for learning and reasoning
F Giannini, M Diligenti, M Gori, M Maggini
IEEE Transactions on Fuzzy Systems 27 (7), 1407-1416, 2018
262018
A constraint-based approach to learning and explanation
G Ciravegna, F Giannini, S Melacci, M Maggini, M Gori
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3658-3665, 2020
212020
Interpretable Neural-Symbolic Concept Reasoning
P Barbiero, G Ciravegna, F Giannini, ME Zarlenga, LC Magister, A Tonda, ...
International Conference on Machine Learning, ICML 2023, 23-29 July 2023 …, 2023
18*2023
T-norms Driven Loss Functions for Machine Learning
F Giannini, M Diligenti, M Maggini, M Gori, G Marra
Applied Intelligence, 2023
16*2023
Constraint-based visual generation
G Marra, F Giannini, M Diligenti, M Gori
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019
142019
Neural networks for beginners. A fast implementation in matlab, torch, tensorflow
F Giannini, V Laveglia, A Rossi, D Zanca, A Zugarini
arXiv preprint arXiv:1703.05298, 2017
10*2017
Extending Logic Explained Networks to Text Classification
R Jain, G Ciravegna, P Barbiero, F Giannini, D Buffelli, P Lio
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
92022
Pytorch, explain! a python library for logic explained networks
P Barbiero, G Ciravegna, D Georgiev, F Giannini
arXiv preprint arXiv:2105.11697, 2021
8*2021
On the relation between loss functions and t-norms
F Giannini, G Marra, M Diligenti, M Maggini, M Gori
Inductive Logic Programming: 29th International Conference, ILP 2019 …, 2020
72020
Learning Łukasiewicz logic fragments by quadratic programming
F Giannini, M Diligenti, M Gori, M Maggini
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
52017
Relational Reasoning Networks
G Marra, M Diligenti, F Giannini
arXiv preprint arXiv:2106.00393, 2021
4*2021
Categorical Foundation of Explainable AI
P Barbiero, S Fioravanti, F Giannini, A Tonda, P Lio, E Di Lavore
arXiv preprint arXiv:2304.14094, 2023
32023
A constraint-based approach to learning and reasoning
M Diligenti, F Giannini, M Gori, M Maggini, G Marra
Neuro-symbolic artificial intelligence: the state of the art, 192-213, 2021
32021
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Articles 1–20