Ambroise Odonnat

23 papers A* 4A 1Misc 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Layer by layer, module by module: Choose both for optimal OOD probing of ViT.
CoRR
Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2026 J jnl
Vision Transformer Finetuning Benefits from Non-Smooth Components.
CoRR
Ambroise Odonnat, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2025 J jnl
CauKer: classification time series foundation models can be pretrained on synthetic data only.
CoRR
Shifeng Xie, Vasilii Feofanov, Marius Alonso, Ambroise Odonnat, Jianfeng Zhang, Themis Palpanas, Ievgen Redko
2025 Misc conf
Easing Optimization Paths: a Circuit Perspective.
ICASSP
Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2025 J jnl
Easing Optimization Paths: a Circuit Perspective.
CoRR
Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2025 J jnl
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift.
Trans. Mach. Learn. Res.
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2025 J jnl
Optimal Self-Consistency for Efficient Reasoning with Large Language Models.
CoRR
Austin Feng, Marius Alonso, Ambroise Odonnat
2025 J jnl
Provable Benefits of In-Tool Learning for Large Language Models.
CoRR
Sam Houliston, Ambroise Odonnat, Charles Arnal, Vivien Cabannes
2025 J jnl
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities.
Trans. Mach. Learn. Res.
Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary
2025 A* conf
Zero-shot Model-based Reinforcement Learning using Large Language Models.
ICLR
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024 J jnl
A Visual Case Study of the Training Dynamics in Neural Networks.
CoRR
Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes
2024 A* conf
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
NeurIPS
Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024 J jnl
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
CoRR
Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
2024 J jnl
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift.
CoRR
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024 J jnl
Large Language Models as Markov Chains.
CoRR
Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boullé, Ievgen Redko
2024 A conf
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias.
AISTATS
Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
2024 J jnl
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
CoRR
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024 A* conf
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
NeurIPS
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024 A* conf
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
ICML
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024 J jnl
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation.
CoRR
Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Alexandre Gramfort, Thomas Moreau, Rémi Flamary
2024 J jnl
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024 J jnl
Zero-shot Model-based Reinforcement Learning using Large Language Models.
CoRR
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023 J jnl
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias.
CoRR
Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko