| Deep learning for neuroimaging: a validation study SM Plis, DR Hjelm, R Salakhutdinov, EA Allen, HJ Bockholt, JD Long, ... Frontiers in neuroscience 8, 229, 2014 | 372 | 2014 |
| Learning deep representations by mutual information estimation and maximization RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, P Bachman, ... arXiv preprint arXiv:1808.06670, 2018 | 360 | 2018 |
| Mutual information neural estimation MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... International Conference on Machine Learning, 531-540, 2018 | 352* | 2018 |
| Maximum-likelihood augmented discrete generative adversarial networks T Che, Y Li, R Zhang, RD Hjelm, W Li, Y Song, Y Bengio arXiv preprint arXiv:1702.07983, 2017 | 145 | 2017 |
| Learning representations by maximizing mutual information across views P Bachman, RD Hjelm, W Buchwalter Advances in Neural Information Processing Systems, 15535-15545, 2019 | 139 | 2019 |
| Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ... Neuroimage 107, 345-355, 2015 | 138 | 2015 |
| Deep Graph Infomax. P Velickovic, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm ICLR (Poster), 2019 | 136 | 2019 |
| Restricted Boltzmann Machines for Neuroimaging: an Application in Identifying Intrinsic Networks D Hjelm, V Calhoun, EA Allen, T Adali, R Salakhutdinov, SM Plis NeuroImage, in Press, 2014 | 110 | 2014 |
| Boundary-seeking generative adversarial networks RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio arXiv preprint arXiv:1702.08431, 2017 | 108 | 2017 |
| Deep graph infomax P Veličković, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm arXiv preprint arXiv:1809.10341, 2018 | 58 | 2018 |
| Unsupervised state representation learning in atari A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm Advances in Neural Information Processing Systems, 8769-8782, 2019 | 36 | 2019 |
| Iterative refinement of the approximate posterior for directed belief networks D Hjelm, RR Salakhutdinov, K Cho, N Jojic, V Calhoun, J Chung Advances in Neural Information Processing Systems, 4691-4699, 2016 | 25* | 2016 |
| Deep independence network analysis of structural brain imaging: application to schizophrenia E Castro, RD Hjelm, SM Plis, L Dinh, JA Turner, VD Calhoun IEEE transactions on medical imaging 35 (7), 1729-1740, 2016 | 24* | 2016 |
| On adversarial mixup resynthesis C Beckham, S Honari, V Verma, AM Lamb, F Ghadiri, RD Hjelm, Y Bengio, ... Advances in neural information processing systems, 4346-4357, 2019 | 18* | 2019 |
| Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction A El-Nouby, S Sharma, H Schulz, D Hjelm, LE Asri, SE Kahou, Y Bengio, ... Proceedings of the IEEE International Conference on Computer Vision, 10304-10312, 2019 | 17* | 2019 |
| Spatio-temporal dynamics of intrinsic networks in functional magnetic imaging data using recurrent neural networks RD Hjelm, E Damaraju, K Cho, H Laufs, SM Plis, VD Calhoun Frontiers in neuroscience 12, 600, 2018 | 17* | 2018 |
| Reading the (functional) writing on the (structural) wall: multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel … SM Plis, MF Amin, A Chekroud, D Hjelm, E Damaraju, HJ Lee, JR Bustillo, ... Neuroimage 181, 734-747, 2018 | 15 | 2018 |
| On-line Adaptative Curriculum Learning for GANs T Doan, J Monteiro, I Albuquerque, B Mazoure, A Durand, J Pineau, ... Proceedings of the AAAI Conference on Artificial Intelligence 33, 3470-3477, 2019 | 11 | 2019 |
| Leveraging exploration in off-policy algorithms via normalizing flows B Mazoure, T Doan, A Durand, J Pineau, RD Hjelm Conference on Robot Learning, 430-444, 2020 | 9 | 2020 |
| Actual: Actor-critic under adversarial learning A Goyal, NR Ke, A Lamb, RD Hjelm, C Pal, J Pineau, Y Bengio arXiv preprint arXiv:1711.04755, 2017 | 7 | 2017 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
