Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. - Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko (AISTATS, 2024)

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. - Romain Ilbert; Ambroise Odonnat; Vasilii Feofanov; Aladin Virmaux; Giuseppe Paolo; Themis Palpanas; Ievgen Redko (ICML, 2024)

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. - Romain Ilbert; Malik Tiomoko; Cosme Louart; Ambroise Odonnat; Vasilii Feofanov; Themis Palpanas; Ievgen Redko (NeurIPS, 2024)

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Weijian Deng; Jianfeng Zhang; Bo An 001 (NeurIPS, 2024)

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (CoRR, 2024)

Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. - Romain Ilbert; Ambroise Odonnat; Vasilii Feofanov; Aladin Virmaux; Giuseppe Paolo; Themis Palpanas; Ievgen Redko (CoRR, 2024)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation. - Yanis Lalou; Théo Gnassounou; Antoine Collas; Antoine de Mathelin; Oleksii Kachaiev; Ambroise Odonnat; Alexandre Gramfort; Thomas Moreau 001; Rémi Flamary (CoRR, 2024)

Large Language Models as Markov Chains. - Oussama Zekri; Ambroise Odonnat; Abdelhakim Benechehab; Linus Bleistein; Nicolas Boullé; Ievgen Redko (CoRR, 2024)

A Visual Case Study of the Training Dynamics in Neural Networks. - Ambroise Odonnat; Wassim Bouaziz; Vivien Cabannes (CoRR, 2024)

Easing Optimization Paths: a Circuit Perspective. - Ambroise Odonnat; Wassim Bouaziz; Vivien Cabannes (ICASSP, 2025)

Zero-shot Model-based Reinforcement Learning using Large Language Models. - Abdelhakim Benechehab; Youssef Attia El Hili; Ambroise Odonnat; Oussama Zekri; Albert Thomas 001; Giuseppe Paolo; Maurizio Filippone; Ievgen Redko; Balázs Kégl (ICLR, 2025)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities. - Yanis Lalou; Théo Gnassounou; Antoine Collas; Antoine de Mathelin; Ambroise Odonnat; Thomas Moreau 001; Alexandre Gramfort; Rémi Flamary (Trans. Mach. Learn. Res., 2025)

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (Trans. Mach. Learn. Res., 2025)

CauKer: classification time series foundation models can be pretrained on synthetic data only. - Shifeng Xie; Vasilii Feofanov; Marius Alonso; Ambroise Odonnat; Jianfeng Zhang; Themis Palpanas; Ievgen Redko (CoRR, 2025)