| 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 | 90 | 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 | 46 | 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 | 41* | 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 | 34 | 2020 |
| Neural markov logic networks G Marra, O Kuželka UAI, 2021 | 27 | 2021 |
| 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 | 13* | 2021 |
| Deepstochlog: Neural stochastic logic programming T Winters, G Marra, R Manhaeve, L De Raedt AAAI, 2022 | 12 | 2022 |
| 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 |
| Local propagation in constraint-based neural network G Marra, M Tiezzi, S Melacci, A Betti, M Maggini, M Gori IJCNN 2020, 2020 | 10 | 2020 |
| Online Learning of Non-Markovian Reward Models G Rens, JF Raskin, R Reynouad, G Marra ICART, 2020 | 9 | 2020 |
| Constraint-based visual generation G Marra, F Giannini, M Diligenti, M Gori Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 9 | 2019 |
| 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 | 7 | 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 | 7 | 2019 |
| T-Norms Driven Loss Functions for Machine Learning G Marra, F Giannini, M Diligenti, M Maggini, M Gori arXiv preprint arXiv:1907.11468, 2019 | 6* | 2019 |
| 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 |
| Backpropagation and biological plausibility A Betti, M Gori, G Marra arXiv preprint arXiv:1808.06934, 2018 | 4 | 2018 |
| 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 | 3* | 2019 |
| Defining and Investigating the Scope of Users and Hashtags in Twitter: (Short Paper) D Leggio, G Marra, D Ursino On the Move to Meaningful Internet Systems: OTM 2014 Conferences …, 2014 | 3 | 2014 |
| Exploiting answer set programming for handling information diffusion in a multi-social-network scenario G Marra, F Ricca, G Terracina, D Ursino Logics in Artificial Intelligence: 14th European Conference, JELIA 2014 …, 2014 | 3 | 2014 |
