| Negative momentum for improved game dynamics G Gidel, RA Hemmat, M Pezeshki, R Le Priol, G Huang, S Lacoste-Julien, ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 206 | 2019 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 31 | 2024 |
| SLA violation prediction in cloud computing: A machine learning perspective RA Hemmat, A Hafid arXiv preprint arXiv:1611.10338, 2016 | 28 | 2016 |
| LEAD: Min-Max Optimization from a Physical Perspective RA Hemmat, A Mitra, G Lajoie, I Mitliagkas arXiv preprint arXiv:2010.13846, 2020 | 11* | 2020 |
| Epistimio/orion: Asynchronous Distributed Hyperparameter Optimization X Bouthillier, C Tsirigotis, F Corneau-Tremblay, T Schweizer, L Dong, ... Nov, 2021 | 9* | 2021 |
| Oríon-asynchronous distributed hyperparameter optimization X Bouthillier, C Tsirigotis, F Corneau-Tremblay, P Delaunay, ... October, 2019 | 9 | 2019 |
| Feedback-guided Data Synthesis for Imbalanced Classification R Askari Hemmat, M Pezeshki, F Bordes, M Drozdzal, A Romero-Soriano arXiv preprint arXiv:2310.00158, 2023 | 8 | 2023 |
| QReg: On regularization effects of quantization MH AskariHemmat, RA Hemmat, A Hoffman, I Lazarevich, E Saboori, ... arXiv preprint arXiv:2206.12372, 2022 | 5 | 2022 |
| On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models TB Ifriqi, P Astolfi, M Hall, R Askari-Hemmat, Y Benchetrit, M Havasi, ... arXiv preprint arXiv:2411.03177, 2024 | | 2024 |
| Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance R Askari Hemmat, M Hall, A Sun, C Ross, M Drozdzal, A Romero-Soriano arXiv e-prints, arXiv: 2406.04551, 2024 | | 2024 |
| QGen: On the Ability to Generalize in Quantization Aware Training MH AskariHemmat, A Jeddi, RA Hemmat, I Lazarevich, A Hoffman, S Sah, ... arXiv preprint arXiv:2404.11769, 2024 | | 2024 |
| Deliberate Practice with Synthetic Data R Askari-Hemmat, M Pezeshki, P Astolfi, M Hall, F Bordes, J Verbeek, ... Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 | | 2024 |
| Feedback-guided data synthesis for imbalanced classification A Hemmat, R.A., Pezeshki, M., Bordes, F., Drozdzal, M., Romero-Soriano | | 2023 |
| SLA Violation Prediction: A Machine Learning Perspective R Askari Hemmat https://papyrus.bib.umontreal.ca/xmlui/handle/1866/18754, 2016 | | 2016 |
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalGeverifieerd e-mailadres voor iro.umontreal.ca
