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 | 11 | 2022 |
FedControl: When Control Theory Meets Federated Learning AB Mansour, G Carenini, A Duplessis, D Naccache ICML 2022 New in ML Workshop (3rd Best Paper), 2022 | 2 | 2022 |
Quantum Automating TC0-Frege is LWE-Hard N Arteche, G Carenini, M Gray CCC 2024, 2024 | 1 | 2024 |
Interpretable machine learning for finding intermediate-mass black holes M Pasquato, P Trevisan, A Askar, P Lemos, G Carenini, M Mapelli, ... The Astrophysical Journal, 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 |
Sparse logistic regression for rr lyrae versus binaries classification P Trevisan, M Pasquato, G Carenini, N Mekhaël, VF Braga, G Bono, ... The Astrophysical Journal 950 (2), 103, 2023 | 1 | 2023 |
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 |
Variable Star Light Curves in Koopman Space YH Nicolas Mekhaël, Mario Pasquato, Gaia Carenini, Vittorio F. Braga, Piero ... ICML 2024 AI4Science Workshop (Spotlight), 2024 | | 2024 |
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 |
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights A Ben Mansour, G Carenini, A Duplessis arXiv e-prints, arXiv: 2307.06283, 2023 | | 2023 |