| A study of condition numbers for first-order optimization C Guille-Escuret, M Girotti, B Goujaud, I Mitliagkas International Conference on Artificial Intelligence and Statistics, 1261-1269, 2021 | 20 | 2021 |
| Gradient descent is optimal under lower restricted secant inequality and upper error bound C Guille-Escuret, A Ibrahim, B Goujaud, I Mitliagkas Advances in Neural Information Processing Systems 36, 24893-24904, 2022 | 17 | 2022 |
| Towards out-of-distribution adversarial robustness A Ibrahim, C Guille-Escuret, I Mitliagkas, I Rish, D Krueger, P Bashivan arXiv preprint arXiv:2210.03150, 2022 | 7 | 2022 |
| No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths C Guille-Escuret, H Naganuma, K Fatras, I Mitliagkas ICML 2024, 2023 | 6 | 2023 |
| CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning C Guille-Escuret, P Rodriguez, D Vazquez, I Mitliagkas, J Monteiro Advances in Neural Information Processing Systems 37, 2023 | 3 | 2023 |
| From Conformal Predictions to Confidence Regions C Guille-Escuret, E Ndiaye arXiv preprint arXiv:2405.18601, 2024 | 2 | 2024 |
| Prediction of lightning currents on fastening assemblies of an aircraft fuel tank with machine learning methods P Monferran, C Guille-Escuret, C Guiffaut, A Reineix IEEE Transactions on Electromagnetic Compatibility 65 (3), 812-822, 2023 | 2 | 2023 |
| Understanding Adam Requires Better Rotation Dependent Assumptions L Maes, TH Zhang, A Jolicoeur-Martineau, I Mitliagkas, D Scieur, ... arXiv preprint arXiv:2410.19964, 2024 | 1 | 2024 |
| Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors C Guille-Escuret, E Ndiaye arXiv preprint arXiv:2401.15254, 2024 | 1 | 2024 |
| InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification L Boussioux, T Giro-Larraz, C Guille-Escuret, M Cherti, B Kégl ICML 2019 Workshop on AI for Social Good, 2019 | 1 | 2019 |
| Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection C Guille-Escuret, PA Noël, I Mitliagkas, D Vazquez, J Monteiro Advances in Neural Information Processing Systems 37, 130953-130976, 2024 | | 2024 |
| Contrastive Self-supervision Defines General-Purpose Similarity Functions C Guille-Escuret, P Rodríguez, D Vázquez, I Mitliagkas, J Monteiro NeurIPS 2022 Self Supervised Learning Workshop, 2022 | | 2022 |
| Mitigating Forgetting in Continually Pretraining MoE-LLMs by Adding and Chilling Experts R Li, C Guille-Escuret, D Kocetkov, J Lamy-Poirier, L Kumar, M Tian, ... | | |
| Understanding Adam Requires Better Rotation Dependent Assumptions TH Zhang, L Maes, A Jolicoeur-Martineau, I Mitliagkas, D Scieur, ... OPT 2024: Optimization for Machine Learning, 0 | | |
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalVerified email at iro.umontreal.ca
