Follow
Ambroise Odonnat
Title
Cited by
Cited by
Year
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, I Redko
arXiv preprint arXiv:2402.10198, 2024
52024
Leveraging ensemble diversity for robust self-training in the presence of sample selection bias
A Odonnat, V Feofanov, I Redko
International Conference on Artificial Intelligence and Statistics, 595-603, 2024
12024
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
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, I Redko
Forty-first International Conference on Machine Learning, 0
The system can't perform the operation now. Try again later.
Articles 1–6