ML Anthology
Authors
Search
About
de Mathelin, Antoine
8 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
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
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