Odonnat, Ambroise

7 publications

TMLR 2025 Leveraging Gradients for Unsupervised Accuracy Estimation Under Distribution Shift Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
TMLR 2025 SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation on Diverse Modalities Yanis Lalou, Theo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary
ICLR 2025 Zero-Shot Model-Based Reinforcement Learning Using Large Language Models Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
NeurIPS 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
AISTATS 2024 Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Ambroise Odonnat, Vasilii Feofanov, 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
ICML 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