| Fair pairwise learning to rank M Cerrato, M Köppel, A Segner, R Esposito, S Kramer 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| Constraining deep representations with a noise module for fair classification M Cerrato, R Esposito, LL Puma Proceedings of the 35th Annual ACM Symposium on Applied Computing, 470-472, 2020 | 7 | 2020 |
| Automated scientific discovery: from equation discovery to autonomous discovery systems S Kramer, M Cerrato, S Džeroski, R King arXiv preprint arXiv:2305.02251, 2023 | 5 | 2023 |
| Fair Interpretable Representation Learning with Correction Vectors M Cerrato, AV Coronel, M Köppel, A Segner, R Esposito, S Kramer arXiv preprint arXiv:2202.03078, 2022 | 5 | 2022 |
| Reinforcement learning for automated scientific discovery M Cerrato, J Brugger, N Schmitt, S Kramer AAAI Spring Symposium on Computational Approaches to Scientific Discovery, 2023 | 4 | 2023 |
| Fair Group-Shared Representations with Normalizing Flows M Cerrato, K Marius, A Segner, S Kramer Workshops of the Ninth International Conference on Learning Representations …, 2021 | 4 | 2021 |
| Invariant Representations with Stochastically Quantized Neural Networks M Cerrato, M Köppel, R Esposito, S Kramer Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023 | 2 | 2023 |
| FairSwiRL: fair semi-supervised classification with representation learning S Yang, M Cerrato, D Ienco, RG Pensa, R Esposito Machine Learning, 2023 | 1 | 2023 |
| Ranking algorithms for word ordering in surface realization A Mazzei, M Cerrato, R Esposito, V Basile Information 12 (8), 337, 2021 | 1 | 2021 |
| Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations C Derstroff, M Cerrato, J Brugger, J Peters, S Kramer Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11766 …, 2024 | | 2024 |
| Privacy-Preserving Learning of Random Forests Without Revealing the Trees LM Bammert, S Kramer, M Cerrato, E Althaus International Conference on Discovery Science, 372-386, 2023 | | 2023 |
| Hierarchical priors for Hyperspherical Prototypical Networks S Fonio, R Esposito, L Paletto, D Ienco, M Cerrato 31th European Symposium on Artificial Neural Networks, Computational …, 2023 | | 2023 |
| Fair Semi-supervised Representation Learning for Tabular Data Classification S Yang, M Cerrato, D Ienco, RG Pensa, R Esposito CEUR WORKSHOP PROCEEDINGS 3478, 488-496, 2023 | | 2023 |
| Fair Interpretable Learning via Correction Vectors M Cerrato, K Marius, A Segner, S Kramer Workshops of the Ninth International Conference on Learning Representations …, 2021 | | 2021 |
| The Case for Correctability in Fair Machine Learning M Cerrato, AV Coronel, M Köppel | | 2020 |
| Taxonomic and Whole Object Constraints: A Deep Architecture M Cerrato, A Edoardo, V Gliozzi, R Esposito Proceedings of the 41th Annual Meeting of the Cognitive Science Society …, 2019 | | 2019 |
| Partitioned Least Squares R Esposito, M Cerrato, M Locatelli AI* IA 2019–Advances in Artificial Intelligence: XVIIIth International …, 2019 | | 2019 |
| Neural-guided equation discovery J Brugger, D Richter, M Cerrato, M Mezini, S Kramer | | |
Roberto EspositoResearcher in Computer Science, Università di TorinoVerified email at unito.it
