Andre Manoel
Orcid: 0000-0002-5455-0230
According to our database1,
Andre Manoel
authored at least 20 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation.
CoRR, 2023
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations.
CoRR, 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2020
2019
CoRR, 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines.
CoRR, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2012