Andre Manoel
Andre Manoel
Research Engineer, Microsoft Research
Zweryfikowany adres z microsoft.com - Strona główna
Cytowane przez
Cytowane przez
Entropy and mutual information in models of deep neural networks
M Gabrié, A Manoel, C Luneau, J Barbier, N Macris, F Krzakala, ...
Advances in Neural Information Processing Systems (NeurIPS), 1821-1831, 2018
Swept approximate message passing for sparse estimation
A Manoel, F Krzakala, E Tramel, L Zdeborova
International Conference on Machine Learning (ICML), 1123-1132, 2015
Variational free energies for compressed sensing
F Krzakala, A Manoel, EW Tramel, L Zdeborová
2014 IEEE International Symposium on Information Theory (ISIT), 1499-1503, 2014
Multi-layer generalized linear estimation
A Manoel, F Krzakala, M Mézard, L Zdeborová
2017 IEEE International Symposium on Information Theory (ISIT), 2098-2102, 2017
Deterministic and generalized framework for unsupervised learning with Restricted Boltzmann Machines
EW Tramel, M Gabrié, A Manoel, F Caltagirone, F Krzakala
Physical Review X 8 (4), 041006, 2018
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines
EW Tramel, A Manoel, F Caltagirone, M Gabrié, F Krzakala
2016 IEEE Information Theory Workshop (ITW), 265-269, 2016
Differentially private fine-tuning of language models
D Yu, S Naik, A Backurs, S Gopi, HA Inan, G Kamath, J Kulkarni, YT Lee, ...
International Conference on Learning Representations (ICLR), 2022
Approximate message-passing for convex optimization with non-separable penalties
A Manoel, F Krzakala, G Varoquaux, B Thirion, L Zdeborová
arXiv preprint arXiv:1809.06304, 2018
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
A Manoel, F Krzakala, EW Tramel, L Zdeborová
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
Federated Survival Analysis with Discrete-Time Cox Models
M Andreux, A Manoel, R Menuet, C Saillard, C Simpson
International Workshop on Federated Learning for User Privacy and Data …, 2020
Expectation propagation
J Raymond, A Manoel, M Opper
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms, 2015
Efficient Per-Example Gradient Computations in Convolutional Neural Networks
G Rochette, A Manoel, EW Tramel
Workshop on Theory and Practice of Differential Privacy (TPDP), 2020
Flute: A scalable, extensible framework for high-performance federated learning simulations
D Dimitriadis, MH Garcia, DM Diaz, A Manoel, R Sim
arXiv preprint arXiv:2203.13789, 2022
Statistical mechanics of reputation systems in autonomous networks
A Manoel, R Vicente
Journal of Statistical Mechanics: Theory and Experiment 2013 (08), P08002, 2013
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
YJ Cho, A Manoel, G Joshi, R Sim, D Dimitriadis
arXiv preprint arXiv:2204.12703, 2022
Statistical physics for compressed sensing and information hiding
AAM Manoel
Universidade de São Paulo, 0
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