Get started
Author

Andre Manoel

Entropy and mutual information in models of deep neural networks*
2019 · Marylou Gabrié, Andre Manoel, et al. · Journal of Statistical Mechanics Theory and Experiment · 143
PDF
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
2022 · Yae Jee Cho, Andre Manoel, et al. · International Joint Conference on Artificial Intelligence · 120
PDF
Differentially Private Fine-tuning of Language Models
2024 · Da Yu, Saurabh Naik, et al. · Journal of Privacy and Confidentiality · 101
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
2024 · Hojjat Aghakhani, Wei Dai, et al. · IEEE Symposium on Security and Privacy (S&P) · 46
PDF
Prediction of metabolic syndrome: A machine learning approach to help primary prevention
2022 · Leonardo Daniel Tavares, Andre Manoel, et al. · Diabetes Research and Clinical Practice · 36
Sparse Estimation with the Swept Approximated Message-Passing Algorithm
2014 · Manoel, Andre, Krzakala, Florent, et al. · arXiv (Cornell University) · 35
PDF
Multi-Layer Generalized Linear Estimation
2017 · Manoel, Andre, Krzakala, Florent, et al. · HAL · 30
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines
2016 · Eric W. Tramel, Andre Manoel, et al. · IEEE Information Theory Workshop (ITW) · 23
PDF
Federated Survival Analysis with Discrete-Time Cox Models
2020 · Andreux, Mathieu, Manoel, Andre, et al. · arXiv (Cornell University) · 20
PDF
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
2022 · Garcia, Mirian Hipolito, Manoel, Andre, et al. · arXiv (Cornell University) · 17
PDF
Approximate message-passing for convex optimization with non-separable penalties
2018 · Manoel, Andre, Krzakala, Florent, et al. · arXiv (Cornell University) · 13
PDF
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
2017 · Manoel, Andre, Krzakala, Florent, et al. · HAL · 11
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
2023 · Tang, Xinyu, Shin, Richard, et al. · arXiv (Cornell University) · 9
PDF
Efficient Per-Example Gradient Computations in Convolutional Neural Networks
2019 · Rochette, Gaspar, Manoel, Andre, et al. · arXiv (Cornell University) · 8
PDF
Federated Multilingual Models for Medical Transcript Analysis
2022 · Manoel, Andre, Garcia, Mirian Hipolito, et al. · arXiv (Cornell University) · 6
PDF
Project Florida: Federated Learning Made Easy
2023 · Diaz, Daniel Madrigal, Manoel, Andre, et al. · arXiv (Cornell University) · 3
PDF
Statistical mechanics of reputation systems in autonomous networks
2013 · Andre Manoel, Renato Vicente · Journal of Statistical Mechanics Theory and Experiment · 3
PDF
Expectation Propagation
2014 · Raymond, Jack, Manoel, Andre, et al. · arXiv (Cornell University) · 2
PDF
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
2026 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
PDF
Controllable Synthetic Clinical Note Generation with Privacy Guarantees
2024 · Baumel, Tal, Manoel, Andre, et al. · arXiv (Cornell University) · 1
PDF
Guided Diffusion for Trustworthy Synthetic Text Generation
2026 · Pang, Qi, Xiao, Hanshen, et al. · arXiv (Cornell University)
PDF
NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation
2026 · Greco, Johnny, Mulepati, Nabin, et al. · arXiv (Cornell University)
PDF
Synthetic Data Privacy Metrics
2025 · Steier, Amy, Ramaswamy, Lipika, et al. · arXiv (Cornell University)
PDF
Comunicación breve The intake effects of Cyssus sicyoides drink on body mass, glycemia and femur parameters in male rats
2013 · Paula Cristina, Gladstone Alves da Silva, et al.
Works count: 24
Citation count: 628
H-index: 11
I10-index: 12
Year
Topic
Type