Bruno Lecouat
Bruno Lecouat
Verified email at inria.fr
Title
Cited by
Cited by
Year
Efficient gan-based anomaly detection
H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar
arXiv preprint arXiv:1802.06222, 2018
1632018
Optimistic mirror descent in saddle-point problems: Going the extra (-gradient) mile
P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ...
562018
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
532018
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
192018
Semi-supervised learning with gans: Revisiting manifold regularization
B Lecouat, CS Foo, H Zenati, VR Chandrasekhar
International Conference on Learning Representations workshop (ICLR) 2018, 2018
152018
Manifold regularization with GANs for semi-supervised learning
B Lecouat, CS Foo, H Zenati, V Chandrasekhar
arXiv preprint arXiv:1807.04307, 2018
112018
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
82018
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration
B Lecouat, J Ponce, J Mairal
European Conference on Computer Vision (ECCV) 2020, 2020
22020
Designing and Learning Trainable Priors with Non-Cooperative Games
B Lecouat, J Ponce, J Mairal
2020
The system can't perform the operation now. Try again later.
Articles 1–9