Adversarially Learned Anomaly Detection. - Houssam Zenati; Manon Romain; Chuan-Sheng Foo; Bruno Lecouat; Vijay Chandrasekhar 001 (ICDM, 2018)

Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. - Bruno Lecouat; Chuan Sheng Foo; Houssam Zenati; Vijay Ramaseshan Chandrasekhar (ICLR (Workshop), 2018)

Efficient GAN-Based Anomaly Detection. - Houssam Zenati; Chuan Sheng Foo; Bruno Lecouat; Gaurav Manek; Vijay Ramaseshan Chandrasekhar (CoRR, 2018)

Mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Houssam Zenati; Bruno Lecouat; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (CoRR, 2018)

Manifold regularization with GANs for semi-supervised learning. - Bruno Lecouat; Chuan Sheng Foo; Houssam Zenati; Vijay Chandrasekhar 001 (CoRR, 2018)

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Bruno Lecouat; Ken Chang; Chuan-Sheng Foo; Balagopal Unnikrishnan; James M. Brown 001; Houssam Zenati; Andrew Beers; Vijay Chandrasekhar 001; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy (CoRR, 2018)

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Bruno Lecouat; Houssam Zenati; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (ICLR (Poster), 2019)

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. - Yasin Yazici; Bruno Lecouat; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Georgios Piliouras; Vijay Chandrasekhar 001 (CoRR, 2019)

Revisiting Non Local Sparse Models for Image Restoration. - Bruno Lecouat; Jean Ponce; Julien Mairal (CoRR, 2019)

Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration. - Bruno Lecouat; Jean Ponce; Julien Mairal (ECCV (22), 2020)

A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding. - Bruno Lecouat; Jean Ponce; Julien Mairal (NeurIPS, 2020)

Designing and Learning Trainable Priors with Non-Cooperative Games. - Bruno Lecouat; Jean Ponce; Julien Mairal (CoRR, 2020)

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. - Bruno Lecouat; Jean Ponce; Julien Mairal (ICCV, 2021)

Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts. - Bruno Lecouat; Jean Ponce; Julien Mairal (CoRR, 2021)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. - Goutam Bhat; Martin Danelljan; Radu Timofte; Kazutoshi Akita; Wooyeong Cho; Haoqiang Fan; Lanpeng Jia; Daeshik Kim; Bruno Lecouat; Youwei Li; Shuaicheng Liu; Ziluan Liu; et al. (CoRR, 2021)

Mixed Membership Generative Adversarial Networks. - Yasin Yazici; Bruno Lecouat; Kim-Hui Yap; Stefan Winkler 001; Georgios Piliouras; Vijay Chandrasekhar 001; Chuan-Sheng Foo (ICIP, 2022)

High dynamic range and super-resolution from raw image bursts. - Bruno Lecouat; Thomas Eboli; Jean Ponce; Julien Mairal (ACM Trans. Graph., 2022)

Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation. - Bruno Lecouat; Yann Dubois de Mont-Marin; Théo Bodrito; Julien Mairal; Jean Ponce (CoRR, 2023)

Image Reconstruction from Multiple Shots with Trainable Algorithms. (Reconstruction d'images à partir de prises de vue multiples avec des algorithmes entraînables). - Bruno Lecouat (2023)