| SAMformer: Unlocking the potential of transformers in time series forecasting with sharpness-aware minimization and channel-wise attention R Ilbert*, A Odonnat*, V Feofanov, A Virmaux, G Paolo, T Palpanas, ... ICML 2024 Oral, 2024 | 5* | 2024 |
| Leveraging ensemble diversity for robust self-training in the presence of sample selection bias A Odonnat, V Feofanov, I Redko AISTATS 2024, 2024 | 1 | 2024 |
| SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation Y Lalou, T Gnassounou, A Collas, A de Mathelin, O Kachaiev, A Odonnat, ... arXiv preprint arXiv:2407.11676, 2024 | | 2024 |
| Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting R Ilbert, M Tiomoko, C Louart, A Odonnat, V Feofanov, T Palpanas, ... arXiv preprint arXiv:2406.10327, 2024 | | 2024 |
| MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts R Xie*, A Odonnat*, V Feofanov*, W Deng, J Zhang, B An arXiv preprint arXiv:2405.18979, 2024 | | 2024 |
| Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift R Xie, A Odonnat, V Feofanov, I Redko, J Zhang, B An arXiv preprint arXiv:2401.08909, 2024 | | 2024 |
| scikit-adaptation/skada T Gnassounou, O Kachaiev, R Flamary, A Collas, Y Lalou, A de Mathelin, ... | | 2024 |
Vasilii FeofanovPhD in Machine Learning, Huawei Noah's Ark Lab在 huawei.com 的电子邮件经过验证
