| Diet networks: thin parameters for fat genomics A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ... arXiv preprint arXiv:1611.09340, 2016 | 77 | 2016 |
| Trading off rewards and errors in multi-armed bandits A Erraqabi, A Lazaric, M Valko, E Brunskill, YE Liu Artificial Intelligence and Statistics, 709-717, 2017 | 26 | 2017 |
| Image segmentation by iterative inference from conditional score estimation A Romero, M Drozdzal, A Erraqabi, S Jégou, Y Bengio arXiv preprint arXiv:1705.07450, 2017 | 15 | 2017 |
| A3t: Adversarially augmented adversarial training A Erraqabi, A Baratin, Y Bengio, S Lacoste-Julien arXiv preprint arXiv:1801.04055, 2018 | 11 | 2018 |
| Pliable rejection sampling A Erraqabi, M Valko, A Carpentier, O Maillard International Conference on Machine Learning, 2121-2129, 2016 | 10 | 2016 |
| Exploration-driven representation learning in reinforcement learning A Erraqabi, M Zhao, MC Machado, Y Bengio, S Sukhbaatar, L Denoyer, ... ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021 | 8 | 2021 |
| On random weights for texture generation in one layer CNNS M Mongia, K Kumar, A Erraqabi, Y Bengio 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 6 | 2017 |
| Controlled sparsity via constrained optimization or: How i learned to stop tuning penalties and love constraints J Gallego-Posada, J Ramirez, A Erraqabi, Y Bengio, S Lacoste-Julien Advances in Neural Information Processing Systems 35, 1253-1266, 2022 | 5 | 2022 |
| Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL A Erraqabi, MC Machado, M Zhao, S Sukhbaatar, A Lazaric, D Ludovic, ... Uncertainty in Artificial Intelligence, 641-651, 2022 | 5 | 2022 |
| On random weights for texture generation in one layer neural networks M Mongia, K Kumar, A Erraqabi, Y Bengio arXiv preprint arXiv:1612.06070, 2016 | 5 | 2016 |
| Flexible Learning of Sparse Neural Networks via Constrained Regularization J Gallego-Posada, J Ramirez, A Erraqabi NeurIPS 2021 Workshop LatinX in AI, 2021 | 1 | 2021 |
| Combining adaptive algorithms and hypergradient method: a performance and robustness study A Erraqabi, N Le Roux | | 2018 |
| Rewards and errors in multi-arm bandits for interactive education A Erraqabi, A Lazaric, M Valko, E Brunskill, YE Liu | | 2016 |
