Mougeot, Mathilde

7 publications

JMLR 2025 Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

AAAI 2025 OneBatchPAM: A Fast and Frugal K-Medoids Algorithm Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

ICLR 2022 Discrepancy-Based Active Learning for Domain Adaptation Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

ECML-PKDD 2022 Fast and Accurate Importance Weighting for Correcting Sample Bias Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

NeurIPSW 2021 A Binded VAE for Inorganic Material Generation Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot

NeurIPSW 2021 Handling Distribution Shift in Tire Design Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

ECML-PKDD 2020 Unsupervised Multi-Source Domain Adaptation for Regression Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis