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Ambroise Odonnat
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 7
Top Topics
Estimation Error
Probability Density
Sample Selection Bias
Classifier Ensemble
Top Venues
CoRR
AISTATS
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Publications
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Yanis Lalou
,
Théo Gnassounou
,
Antoine Collas
,
Antoine de Mathelin
,
Oleksii Kachaiev
,
Ambroise Odonnat
,
Alexandre Gramfort
,
Thomas Moreau
,
Rémi Flamary
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation.
CoRR
(2024)
Ambroise Odonnat
,
Vasilii Feofanov
,
Ievgen Redko
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias.
AISTATS
(2024)
Renchunzi Xie
,
Ambroise Odonnat
,
Vasilii Feofanov
,
Ievgen Redko
,
Jianfeng Zhang
,
Bo An
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift.
CoRR
(2024)
Romain Ilbert
,
Ambroise Odonnat
,
Vasilii Feofanov
,
Aladin Virmaux
,
Giuseppe Paolo
,
Themis Palpanas
,
Ievgen Redko
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR
(2024)
Romain Ilbert
,
Malik Tiomoko
,
Cosme Louart
,
Ambroise Odonnat
,
Vasilii Feofanov
,
Themis Palpanas
,
Ievgen Redko
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
CoRR
(2024)
Renchunzi Xie
,
Ambroise Odonnat
,
Vasilii Feofanov
,
Weijian Deng
,
Jianfeng Zhang
,
Bo An
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
CoRR
(2024)
Ambroise Odonnat
,
Vasilii Feofanov
,
Ievgen Redko
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias.
CoRR
(2023)