| Gradient starvation: A learning proclivity in neural networks M Pezeshki, O Kaba, Y Bengio, AC Courville, D Precup, G Lajoie Advances in Neural Information Processing Systems 34, 1256-1272, 2021 | 194 | 2021 |
| Dimensionality compression and expansion in deep neural networks S Recanatesi, M Farrell, M Advani, T Moore, G Lajoie, E Shea-Brown arXiv preprint arXiv:1906.00443, 2019 | 67 | 2019 |
| Learning function from structure in neuromorphic networks LE Suárez, BA Richards, G Lajoie, B Misic Nature Machine Intelligence 3 (9), 771-786, 2021 | 64 | 2021 |
| Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules S Mittal, A Lamb, A Goyal, V Voleti, M Shanahan, G Lajoie, M Mozer, ... International Conference on Machine Learning, 6972-6986, 2020 | 63 | 2020 |
| Non-normal recurrent neural network (nnrnn): learning long time dependencies while improving expressivity with transient dynamics G Kerg, K Goyette, M Puelma Touzel, G Gidel, E Vorontsov, Y Bengio, ... Advances in neural information processing systems 32, 2019 | 61 | 2019 |
| Chaos and reliability in balanced spiking networks with temporal drive G Lajoie, KK Lin, E Shea-Brown Physical Review E 87 (5), 052901, 2013 | 51 | 2013 |
| Predictive learning as a network mechanism for extracting low-dimensional latent space representations S Recanatesi, M Farrell, G Lajoie, S Deneve, M Rigotti, E Shea-Brown Nature communications 12 (1), 1417, 2021 | 45 | 2021 |
| Implicit regularization via neural feature alignment A Baratin, T George, C Laurent, RD Hjelm, G Lajoie, P Vincent, ... International Conference on Artificial Intelligence and Statistics, 2269-2277, 2021 | 37 | 2021 |
| Recurrent neural networks learn robust representations by dynamically balancing compression and expansion M Farrell, S Recanatesi, T Moore, G Lajoie, E Shea-Brown BioRxiv, 564476, 2019 | 28 | 2019 |
| On lyapunov exponents for rnns: Understanding information propagation using dynamical systems tools R Vogt, M Puelma Touzel, E Shlizerman, G Lajoie Frontiers in Applied Mathematics and Statistics 8, 818799, 2022 | 26 | 2022 |
| Systematic evaluation of causal discovery in visual model based reinforcement learning NR Ke, A Didolkar, S Mittal, A Goyal, G Lajoie, S Bauer, D Rezende, ... arXiv preprint arXiv:2107.00848, 2021 | 26 | 2021 |
| Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks P Vincent-Lamarre, G Lajoie, JP Thivierge Journal of computational neuroscience 41, 305-322, 2016 | 24 | 2016 |
| Untangling tradeoffs between recurrence and self-attention in artificial neural networks G Kerg, B Kanuparthi, AG ALIAS PARTH GOYAL, K Goyette, Y Bengio, ... Advances in Neural Information Processing Systems 33, 19443-19454, 2020 | 20 | 2020 |
| Structured chaos shapes spike-response noise entropy in balanced neural networks G Lajoie, JP Thivierge, E Shea-Brown Frontiers in computational neuroscience 8, 123, 2014 | 20 | 2014 |
| Is a modular architecture enough? S Mittal, Y Bengio, G Lajoie Advances in Neural Information Processing Systems 35, 28747-28760, 2022 | 19 | 2022 |
| Encoding in balanced networks: Revisiting spike patterns and chaos in stimulus-driven systems G Lajoie, KK Lin, JP Thivierge, E Shea-Brown PLoS computational biology 12 (12), e1005258, 2016 | 19 | 2016 |
| Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion M Farrell, S Recanatesi, T Moore, G Lajoie, E Shea-Brown Nature Machine Intelligence 4 (6), 564-573, 2022 | 17 | 2022 |
| Continuous-time meta-learning with forward mode differentiation T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon arXiv preprint arXiv:2203.01443, 2022 | 14 | 2022 |
| Compositional attention: Disentangling search and retrieval S Mittal, SC Raparthy, I Rish, Y Bengio, G Lajoie arXiv preprint arXiv:2110.09419, 2021 | 14 | 2021 |
| Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface G Lajoie, NI Krouchev, JF Kalaska, AL Fairhall, EE Fetz PLoS computational biology 13 (2), e1005343, 2017 | 14 | 2017 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
