| From Statistical Relational to Neuro-Symbolic Artificial Intelligence L De Raedt, S Dumančić, R Manhaeve, G Marra Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 111 | 2020 |
| Integrating learning and reasoning with deep logic models G Marra, F Giannini, M Diligenti, M Gori European Conference on Machine Learning and Principles and Practice of …, 2019 | 52 | 2019 |
| LYRICS: a General Interface Layer to Integrate Logic Inference and Deep Learning⋆ G Marra, F Giannini, M Diligenti, M Gori European Conference on Machine Learning and Principles and Practice of …, 2019 | 46* | 2019 |
| Relational Neural Machines G Marra, M Diligenti, F Giannini, M Gori, M Maggini ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 …, 2020 | 42 | 2020 |
| Neural markov logic networks G Marra, O Kuželka UAI, 2021 | 35 | 2021 |
| Deepstochlog: Neural stochastic logic programming T Winters, G Marra, R Manhaeve, L De Raedt AAAI, 2022 | 21 | 2022 |
| An unsupervised character-aware neural approach to word and context representation learning G Marra, A Zugarini, S Melacci, M Maggini Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 16 | 2018 |
| Deep constraint-based propagation in graph neural networks M Tiezzi, G Marra, S Melacci, M Maggini IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 727-739, 2021 | 15* | 2021 |
| Concept embedding models: Beyond the accuracy-explainability trade-off ME Zarlenga, B Pietro, C Gabriele, M Giuseppe, F Giannini, M Diligenti, ... Advances in Neural Information Processing Systems 35, 21400-21413, 2022 | 13* | 2022 |
| Local propagation in constraint-based neural network G Marra, M Tiezzi, S Melacci, A Betti, M Maggini, M Gori IJCNN 2020, 2020 | 12 | 2020 |
| Constraint-based visual generation G Marra, F Giannini, M Diligenti, M Gori Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 12 | 2019 |
| Online Learning of Non-Markovian Reward Models G Rens, JF Raskin, R Reynouad, G Marra ICART, 2020 | 11 | 2020 |
| A lagrangian approach to information propagation in graph neural networks M Tiezzi, G Marra, S Melacci, M Maggini, M Gori ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 …, 2020 | 11 | 2020 |
| Learning in text streams: Discovery and disambiguation of entity and relation instances M Maggini, G Marra, S Melacci, A Zugarini IEEE Transactions on Neural Networks and Learning Systems 31 (11), 4475-4486, 2019 | 9 | 2019 |
| On the relation between Loss Functions and T-Norms F Giannini, G Marra, M Diligenti, M Maggini, M Gori International Conference on Inductive Logic Programming, 2019 | 9 | 2019 |
| Approximate inference for neural probabilistic logic programming R Manhaeve, G Marra, L De Raedt Proceedings of the 18th International Conference on Principles of Knowledge …, 2021 | 8 | 2021 |
| T-norms driven loss functions for machine learning F Giannini, M Diligenti, M Maggini, M Gori, G Marra Applied Intelligence, 1-15, 2023 | 6* | 2023 |
| Information diffusion in a multi-social-network scenario: framework and ASP-based analysis G Marra, D Ursino, F Ricca, G Terracina Knowledge and Information Systems 48, 619-648, 2016 | 6 | 2016 |
| From statistical relational to neural symbolic artificial intelligence: a survey G Marra, S Dumančić, R Manhaeve, L De Raedt arXiv preprint arXiv:2108.11451, 2021 | 5 | 2021 |
| Learning Activation Functions by Means of Kernel Based Neural Networks G Marra, D Zanca, A Betti, M Gori AI* IA 2019–Advances in Artificial Intelligence: XVIIIth International …, 2019 | 5* | 2019 |
