Aurélien Bellet
Aurélien Bellet
Research scientist at INRIA
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Citée par
Advances and Open Problems in Federated Learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1-2), 2021
A Survey on Metric Learning for Feature Vectors and Structured Data
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1306.6709, 2013
Decentralized Collaborative Learning of Personalized Models over Networks
P Vanhaesebrouck, A Bellet, M Tommasi
AISTATS 2017, 2017
Metric Learning
A Bellet, A Habrard, M Sebban
Morgan & Claypool Publishers, 2015
Personalized and Private Peer-to-Peer Machine Learning
A Bellet, R Guerraoui, M Taziki, M Tommasi
AISTATS 2018, 2018
Federated Multi-Task Learning under a Mixture of Distributions
O Marfoq, G Neglia, A Bellet, L Kameni, R Vidal
NeurIPS 2021, 2021
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
I Colin, A Bellet, J Salmon, S Clémençon
ICML 2016, 2016
Robustness and generalization for metric learning
A Bellet, A Habrard
Neurocomputing 151, 259-267, 2015
Sparse Compositional Metric Learning
Y Shi, A Bellet, F Sha
AAAI 2014, 2078-2084, 2014
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
BML Srivastava, A Bellet, M Tommasi, E Vincent
Interspeech 2019, 2019
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ...
arXiv preprint arXiv:1411.4000, 2014
Evaluating voice conversion-based privacy protection against informed attackers
BML Srivastava, N Vauquier, M Sahidullah, A Bellet, M Tommasi, ...
ICASSP 2020, 2020
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
V Zantedeschi, A Bellet, M Tommasi
AISTATS 2020, 2020
Similarity Learning for Provably Accurate Sparse Linear Classification
A Bellet, A Habrard, M Sebban
ICML 2012, 1871-1878, 2012
metric-learn: Metric Learning Algorithms in Python
W de Vazelhes, CJ Carey, Y Tang, N Vauquier, A Bellet
Journal of Machine Learning Research 21 (138), 1-6, 2020
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
JO Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, P Mangold, ...
NeurIPS 2022, 2022
Good edit similarity learning by loss minimization
A Bellet, A Habrard, M Sebban
Machine learning 89 (1-2), 5-35, 2012
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
S Clémençon, I Colin, A Bellet
Journal of Machine Learning Research 17 (76), 1-36, 2016
Differentially Private Federated Learning on Heterogeneous Data
M Noble, A Bellet, A Dieuleveut
AISTATS 2022, 2022
Design choices for x-vector based speaker anonymization
BML Srivastava, N Tomashenko, X Wang, E Vincent, J Yamagishi, ...
INTERSPEECH 2020, 2020
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