| A Variational Inequality Perspective on Generative Adversarial Networks G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien ICLR 2019 - Proceedings of the Seventh International Conference on Learning …, 2019 | 150 | 2019 |
| Negative momentum for improved game dynamics G Gidel, RA Hemmat, M Pezeshki, G Huang, R Lepriol, S Lacoste-Julien, ... AISTATS 2019 - Proceedings of the 22nd International Conference on …, 2019 | 83 | 2019 |
| Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019 | 58 | 2019 |
| Reducing noise in gan training with variance reduced extragradient T Chavdarova, G Gidel, F Fleuret, S Lacoste-Julien Neurips 2019 - Advances in Neural Information Processing Systems, 2019 | 56 | 2019 |
| Frank-wolfe algorithms for saddle point problems G Gidel, T Jebara, S Lacoste-Julien AISTATS 2017 - Proceedings of the 20th International Conference on …, 2017 | 40 | 2017 |
| Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks G Gidel, F Bach, S Lacoste-Julien NeurIPS 2019 - Advances in Neural Information Processing Systems, 3196-3206, 2019 | 37 | 2019 |
| A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games W Azizian, I Mitliagkas, S Lacoste-Julien, G Gidel International Conference on Artificial Intelligence and Statistics, 2863-2873, 2020 | 36 | 2020 |
| Finite regret and cycles with fixed step-size via alternating gradient descent-ascent JP Bailey, G Gidel, G Piliouras Conference on Learning Theory, 391-407, 2020 | 24 | 2020 |
| Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics G Kerg, K Goyette, MP Touzel, G Gidel, E Vorontsov, Y Bengio, G Lajoie NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019 | 24 | 2019 |
| A Closer Look at the Optimization Landscapes of Generative Adversarial Networks H Berard, G Gidel, A Almahairi, P Vincent, S Lacoste-Julien ICLR 2020 - Proceedings of the Eighth International Conference on Learning …, 2020 | 22 | 2020 |
| Frank-Wolfe Splitting via Augmented Lagrangian Method G Gidel, F Pedregosa, S Lacoste-Julien AISTATS 2018 - Proceedings of the 21st International Conference on …, 2018 | 22 | 2018 |
| Linear lower bounds and conditioning of differentiable games A Ibrahim, W Azizian, G Gidel, I Mitliagkas International Conference on Machine Learning, 4583-4593, 2020 | 20 | 2020 |
| Accelerating Smooth Games by Manipulating Spectral Shapes W Azizian, D Scieur, I Mitliagkas, S Lacoste-Julien, G Gidel AISTATS 2020 - Proceedings of the 23rd International Conference on …, 2020 | 19 | 2020 |
| Adaptive Three Operator Splitting F Pedregosa, G Gidel ICML 2018 - Proceedings of the 35rd International Conference on Machine Learning, 2018 | 14 | 2018 |
| Parametric adversarial divergences are good task losses for generative modeling G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien arXiv preprint arXiv:1708.02511, 2017 | 9 | 2017 |
| Real world games look like spinning tops WM Czarnecki, G Gidel, B Tracey, K Tuyls, S Omidshafiei, D Balduzzi, ... arXiv preprint arXiv:2004.09468, 2020 | 8 | 2020 |
| Adversarial Example Games AJ Bose, G Gidel, H Berrard, A Cianflone, P Vincent, S Lacoste-Julien, ... arXiv preprint arXiv:2007.00720, 2020 | 3 | 2020 |
| A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets G Gidel, D Balduzzi, W Czarnecki, M Garnelo, Y Bachrach International Conference on Artificial Intelligence and Statistics, 2548-2556, 2021 | 2 | 2021 |
| Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. arXiv. org G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien August, 2017 | 2 | 2017 |
| A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games W Azizian, I Mitliagkas, S Lacoste-Julien, G Gidel arXiv e-prints, arXiv: 1906.05945, 2019 | 1 | 2019 |
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaVerified email at iro.umontreal.ca
