| A Walk with SGD: How SGD Explores Regions of Deep Network Loss? C Xing, D Arpit, C Tsirigotis, Y Bengio | 123* | 2019 |
| Convex potential flows: Universal probability distributions with optimal transport and convex optimization CW Huang, RTQ Chen, C Tsirigotis, A Courville arXiv preprint arXiv:2012.05942, 2020 | 91 | 2020 |
| A general framework for proving the equivariant strong lottery ticket hypothesis D Ferbach, C Tsirigotis, G Gidel arXiv preprint arXiv:2206.04270, 2022 | 19 | 2022 |
| Simplicial embeddings in self-supervised learning and downstream classification S Lavoie, C Tsirigotis, M Schwarzer, A Vani, M Noukhovitch, K Kawaguchi, ... arXiv preprint arXiv:2204.00616, 2022 | 18 | 2022 |
| Group robust classification without any group information C Tsirigotis, J Monteiro, P Rodriguez, D Vazquez, AC Courville Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| Oríon-asynchronous distributed hyperparameter optimization X Bouthillier, C Tsirigotis, F Corneau-Tremblay, P Delaunay, ... October, 2019 | 9 | 2019 |
| Epistimio/orion: Asynchronous Distributed Hyperparameter Optimization X Bouthillier, C Tsirigotis, F Corneau-Tremblay, T Schweizer, L Dong, ... Nov, 2021 | 5 | 2021 |
| Convex potential flows: universal probability distributions with optimal transport and convex optimization (2020) CW Huang, RT Chen, C Tsirigotis, A Courville arXiv preprint arXiv:2012.05942, 2012 | 5 | 2012 |
| Oríon: Experiment version control for efficient hyperparameter optimization C Tsirigotis, X Bouthillier, F Corneau-Tremblay, P Henderson, R Askari, ... | 4 | 2018 |
| Objectives Towards Stable Adversarial Training Without Gradient Penalties C Tsirigotis, RD Hjelm, A Courville, PA Mitkas Smooth Games Optimization and Machine Learning Workshop, NeurIPS, 2019 | 1 | 2019 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
