Francesco Giannini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
14
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs. | Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra |
| 2025 | CoDIT | A distributed control architecture for logistics operations in flexible manufacturing systems. | Francesco Giannini, Domenico Famularo, Giancarlo Fortino, Giuseppe Franz |
| 2025 | ICLR | Counterfactual Concept Bottleneck Models. | Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich |
| 2025 | IJCAI | Grounding Methods for Neural-Symbolic AI. | Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti |
| 2025 | KR | Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. | Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicol Navarin |
| 2025 | NeSy | Distilling KGE black boxes into interpretable NeSy models. | Rodrigo Castellano Ontiveros, Francesco Giannini, Michelangelo Diligenti |
| 2024 | CoDIT | A distributed control architecture for sustainable routing decisions of autonomous vehicle platoons subject to cyber attacks. | Domenico Famularo, Francesco Giannini, Giancarlo Fortino, Giuseppe Franz |
| 2024 | KDD | Workshop on Human-Interpretable AI. | Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli |
| 2023 | CoDIT | A Neural Network and Model Predictive Control Based Resilient Architecture for Constrained Cyber-Physical Systems. | Luigi D'Alfonso, Giuseppe Franz, Francesco Giannini, Francesco Tedesco |
| 2023 | CoDIT | A Set-Theoretic Receding Horizon Control Based on a Q-Learning Approach for Sustainability Purposes. | Francesco Giannini, Giuseppe Franz, Francesco Pupo, Giancarlo Fortino |
| 2023 | ICML | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | IJCNN | Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. | Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra |
| 2023 | IJCNN | Linguistic Feature Injection for Efficient Natural Language Processing. | Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini, Marco Maggini, Michelangelo Diligenti |
| 2023 | NeSy | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Li, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | Logic Explained Networks. | Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li, Marco Maggini, Stefano Melacci |
| 2022 | AAAI | Entropy-Based Logic Explanations of Neural Networks. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Li, Marco Gori, Stefano Melacci |
| 2022 | CoDIT | Path planning for vehicle platoons under routing decisions: a distributed approach combining Deep Reinforcement Learning and Model Predictive Control. | Francesco Giannini, Giancarlo Fortino, Giuseppe Franz, Francesco Pupo |
| 2022 | DASC | Autonomous Vehicles in Smart Cities: a Deep Reinforcement Learning Solution. | Francesco Giannini, Giuseppe Franz, Francesco Pupo, Giancarlo Fortino |
| 2022 | EMNLP | Extending Logic Explained Networks to Text Classification. | Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Li |
| 2020 | AAAI | A Constraint-Based Approach to Learning and Explanation. | Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | ECAI | Relational Neural Machines. | Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini |
| 2020 | ECAI | Inference in relational neural machines. | Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini |
| 2020 | IJCAI | Human-Driven FOL Explanations of Deep Learning. | Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci |
| 2019 | ICANN | Conditions for Unnecessary Logical Constraints in Kernel Machines. | Francesco Giannini, Marco Maggini |
| 2019 | ICANN | Constraint-Based Visual Generation. | Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori |
| 2019 | ILP | On the Relation Between Loss Functions and T-Norms. | Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori |
| 2018 | AAAI | Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. | Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini |