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Ambroise Odonnat

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
2024 · Romain Ilbert, Malik Tiomoko, et al. · neural information processing systems · 3
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Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
2023 · Odonnat, Ambroise, Feofanov, Vasilii, et al. · arXiv (Cornell University) · 3
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Large Language Models as Markov Chains
2024 · Zekri, Oussama, Odonnat, Ambroise, et al. · arXiv (Cornell University) · 2
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The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators
2026 · Iacob, Alex, Jovanović, Andrej, et al. · arXiv (Cornell University) · 1
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Optimal Self-Consistency for Efficient Reasoning with Large Language Models
2025 · Feng, Austin, Alonso, Marius, et al. · arXiv (Cornell University) · 1
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Zero-shot Model-based Reinforcement Learning using Large Language Models
2024 · Benechehab, Abdelhakim, Hili, Youssef Attia El, et al. · arXiv (Cornell University) · 1
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SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
2024 · Ilbert, Romain, Odonnat, Ambroise, et al. · arXiv (Cornell University) · 1
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FlowTSFM: Turning Encoder Depth into Quantile Transport
2026 · Abdessalem, Bahaeddine, Xie, Shifeng, et al. · arXiv (Cornell University)
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Tabby: An Open Pretraining Recipe for Time Series Foundation Models
2026 · Xie, Shifeng, Abdessalem, Bahaeddine, et al. · arXiv (Cornell University)
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Post-Training in Time Series Foundation Models: A Unifying Framework
2026 · Xie, Shifeng, Odonnat, Ambroise, et al. · arXiv (Cornell University)
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Layer by layer, module by module: Choose both for optimal OOD probing of ViT
2026 · Odonnat, Ambroise, Feofanov, Vasilii, et al. · arXiv (Cornell University)
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Vision Transformer Finetuning Benefits from Non-Smooth Components
2026 · Odonnat, Ambroise, Chapel, Laetitia, et al. · arXiv (Cornell University)
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Provable Benefits of In-Tool Learning for Large Language Models
2025 · Houliston, Sam, Odonnat, Ambroise, et al. · arXiv (Cornell University)
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CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
2025 · Xie, Shifeng, Feofanov, Vasilii, et al. · arXiv (Cornell University)
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SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
2025 · Lalou, Yanis, Gnassounou, Théo, et al. · Zenodo (CERN European Organization for Nuclear Research)
Easing Optimization Paths: a Circuit Perspective
2025 · Ambroise Odonnat, Wassim Bouaziz, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Easing Optimization Paths: a Circuit Perspective
2025 · Ambroise Odonnat, Wassim Bouaziz, et al. · Qeios
Easing Optimization Paths: a Circuit Perspective
2025 · Odonnat, Ambroise, Bouaziz, Wassim, et al. · arXiv (Cornell University)
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A Mechanistic Study of Transformers Training Dynamics
2024 · Odonnat, Ambroise, Bouaziz, Wassim, et al. · arXiv (Cornell University)
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SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
2024 · Lalou, Yanis, Gnassounou, Théo, et al. · arXiv (Cornell University)
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Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
2024 · Xie, Renchunzi, Odonnat, Ambroise, et al. · arXiv (Cornell University)
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Works count: 25
Citation count: 14
H-index: 2
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