Ambroise Odonnat

Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias

I. Redko, Vasilii Feofanov, Ambroise Odonnat, 2023, ArXiv.

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift

I. Redko, Renchunzi Xie, Vasilii Feofanov, 2024, ArXiv.

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift

I. Redko, Renchunzi Xie, Vasilii Feofanov, 2024, 2401.08909.

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting

Cosme Louart, I. Redko, Themis Palpanas, 2024, 2406.10327.

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

I. Redko, Themis Palpanas, Aladin Virmaux, 2024, 2402.10198.