Federated learning aggregation: New robust algorithms with guarantees AB Mansour, G Carenini, A Duplessis, D Naccache 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 8 | 2022 |
FedControl: When Control Theory Meets Federated Learning AB Mansour, G Carenini, A Duplessis, D Naccache Workshop "New in ML" at ICML 2022, 2022 | 2 | 2022 |
Quantum Automating TC0-Frege is LWE-Hard N Arteche, G Carenini, M Gray https://arxiv.org/abs/2402.10351, 2024 | 1 | 2024 |
Large Language Models Behave (Almost) As Rational Speech Actors: Insights From Metaphor Understanding G Carenini, L Bodot, L Bischetti, W Schaeken, V Bambini NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems, 2023 | 1 | 2023 |
Towards a better Rational Speech Act framework for context-aware modeling of metaphor understanding G Carenini, L Bischetti, W Schaeken, V Bambini ICML 2023 First Workshop on Theory of Mind in Communicating Agents, 2023 | 1 | 2023 |
Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding G Carenini, L Bischetti, W Schaeken, V Bambini arXiv preprint arXiv:2404.02983, 2024 | | 2024 |
Interpretable machine learning for finding intermediate-mass black holes M Pasquato, P Trevisan, A Askar, P Lemos, G Carenini, M Mapelli, ... To appear on ApJ, 2023 | | 2023 |
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights A Ben Mansour, G Carenini, A Duplessis arXiv e-prints, arXiv: 2307.06283, 2023 | | 2023 |
Sparse logistic regression for RR Lyrae vs binaries classification MA Piero Trevisan, Mario Pasquato, Gaia Carenini, Nicolas Mekhael, Vittorio ... 10.3847/1538-4357/accf8f, 2023 | | 2023 |