Bruno Lecouat
Bruno Lecouat
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TitleCited byYear
Efficient gan-based anomaly detection
H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar
arXiv preprint arXiv:1802.06222, 2018
Optimistic mirror descent in saddle-point problems: Going the extra (-gradient) mile
P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ...
Mirror descent in saddle-point problems: Going the extra (gradient) mile
P Mertikopoulos, H Zenati, B Lecouat, CS Foo, V Chandrasekhar, ...
arXiv preprint arXiv:1807.02629, 2018
Adversarially Learned Anomaly Detection
H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar
2018 IEEE International Conference on Data Mining (ICDM), 727-736, 2018
Semi-supervised learning with gans: Revisiting manifold regularization
B Lecouat, CS Foo, H Zenati, VR Chandrasekhar
arXiv preprint arXiv:1805.08957, 2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ...
arXiv preprint arXiv:1812.07832, 2018
Manifold regularization with GANs for semi-supervised learning
B Lecouat, CS Foo, H Zenati, V Chandrasekhar
arXiv preprint arXiv:1807.04307, 2018
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
Y Yazıcı, B Lecouat, CS Foo, S Winkler, KH Yap, G Piliouras, ...
arXiv preprint arXiv:1902.03444, 2019
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