Andre Manoel

Entropy and mutual information in models of deep neural networks*

Marylou Gabrié, Andre Manoel, Clément Luneau et al. · Journal of Statistical Mechanics Theory and Experiment · 2019 · 141 citations · Full text

Artificial Intelligence, Deep Neural Networks, Engineering +15

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi et al. · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022 · 90 citations · Full text

Artificial Intelligence, Generalization Bound, Diversity Regularization +14

Differentially Private Fine-tuning of Language Models

Dahua Yu, Saurabh Naik, Artūrs Bačkurs et al. · arXiv (Cornell University) · 2021 · 46 citations · Full text

Swept Approximate Message Passing for Sparse Estimation

Andre Manoel, Florent Krząkała, Eric W. Tramel et al. · 2015 · 41 citations

Statistical Signal Processing, Sparse Representation, Engineering +13

Sparse Estimation with the Swept Approximated Message-Passing Algorithm

Andre Manoel, Florent Krząkała, Eric W. Tramel et al. · arXiv (Cornell University) · 2014 · 41 citations · Full text

Statistical Signal Processing, Sparse Representation, Engineering +13