| Deep Complex Networks C Trabelsi, O Bilaniuk, Z Ying, D Serdyuk, S Subramanian, ... International Conference on Learning Representations (ICLR), 2018 | 837* | 2018 |
| On orthogonality and learning recurrent networks with long term dependencies E Vorontsov, C Trabelsi, S Kadoury, C Pal International Conference on Machine Learning, 3570-3578, 2017 | 239 | 2017 |
| Quaternion recurrent neural networks T Parcollet, M Ravanelli, M Morchid, G Linarès, C Trabelsi, R De Mori, ... International Conference on Learning Representations (ICLR), 2019 | 138 | 2019 |
| Quaternion convolutional neural networks for end-to-end automatic speech recognition T Parcollet, Y Zhang, M Morchid, C Trabelsi, G Linarès, R De Mori, ... Nineteenth annual conference of the international speech communication …, 2018 | 99 | 2018 |
| Transcam: Transformer attention-based cam refinement for weakly supervised semantic segmentation R Li, Z Mai, Z Zhang, J Jang, S Sanner Journal of Visual Communication and Image Representation 92, 103800, 2023 | 21 | 2023 |
| Deep complex networks (2017) C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ... arXiv preprint arXiv:1705.09792, 2017 | 10 | 2017 |
| ExCon: Explanation-driven supervised contrastive learning for image classification Z Zhang, J Jang, C Trabelsi, R Li, S Sanner, Y Jeong, D Shim arXiv preprint arXiv:2111.14271, 2021 | 5 | 2021 |
| Deep complex networks. arXiv preprint arXiv: 170509792 C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ... | 5 | 2017 |
| Quaternion Recurrent Neural Networks. 2019 T Parcollet, M Ravanelli, M Morchid, G Linarès, C Trabelsi, R De Mori, ... arXiv preprint arXiv:1806.04418, 1806 | 5 | 1806 |
| EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness R Li, Z Zhang, J Li, C Trabelsi, S Sanner, J Jang, Y Jeong, D Shim arXiv preprint arXiv:2105.14162, 2021 | 3* | 2021 |
| Stabilizing and enhancing learning for deep complex and real neural networks C Trabelsi Ecole Polytechnique, Montreal (Canada), 2019 | 2 | 2019 |
| Retrieving Signals with Deep Complex Extractors C Trabelsi, O Bilaniuk, O Dia, Y Zhang, M Ravanelli, J Binas, ... Advances in Neural Information Processing Systems (NeurIPS) Deep Inverse …, 2019 | 1 | 2019 |
| Complex valued gating mechanisms C Trabelsi, Y Zhang, OA Dia, CJ Pal, N Rostamzadeh US Patent App. 16/556,316, 2020 | | 2020 |
| Traduction statistique vers une langue à morphologie riche: Combinaison d’algorithmes de segmentation morphologique et de modèles statistiques de traduction automatique C Trabelsi | | 2013 |
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
