| Improved Training of Wasserstein GANs I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, AC Courville Advances in Neural Information Processing Systems, 5767-5777, 2017 | 4360 | 2017 |
| Ask me anything: Dynamic memory networks for natural language processing A Kumar, O Irsoy, P Ondruska, M Iyyer, J Bradbury, I Gulrajani, V Zhong, ... International conference on machine learning, 1378-1387, 2016 | 1022 | 2016 |
| SampleRNN: An unconditional end-to-end neural audio generation model S Mehri, K Kumar, I Gulrajani, R Kumar, S Jain, J Sotelo, A Courville, ... arXiv preprint arXiv:1612.07837, 2016 | 363 | 2016 |
| PixelVAE: A Latent Variable Model for Natural Images I Gulrajani, K Kumar, F Ahmed, AA Taiga, F Visin, D Vazquez, A Courville arXiv preprint arXiv:1611.05013, 2016 | 241 | 2016 |
| Invariant risk minimization M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz arXiv preprint arXiv:1907.02893, 2019 | 181 | 2019 |
| Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019 | 147 | 2019 |
| In search of lost domain generalization I Gulrajani, D Lopez-Paz arXiv preprint arXiv:2007.01434, 2020 | 22 | 2020 |
| Towards GAN benchmarks which require generalization I Gulrajani, C Raffel, L Metz arXiv preprint arXiv:2001.03653, 2020 | 19 | 2020 |
| SampleRNN: An unconditional end-to-end neural audio generation model (2016) S Mehri, K Kumar, I Gulrajani, R Kumar, S Jain, J Sotelo, A Courville, ... URL https://arxiv. org/abs/1612.07837, 2016 | 14 | 2016 |
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
