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Antoine de Mathelin
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2020 – today
- 2024
- [i9]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 abs/2407.11676 (2024) - 2023
- [c5]Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis:
Personalized One-Shot Collaborative Learning. ICTAI 2023: 114-121 - [i8]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification. CoRR abs/2304.04042 (2023) - [i7]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Maximum Weight Entropy. CoRR abs/2309.15704 (2023) - 2022
- [c4]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Discrepancy-Based Active Learning for Domain Adaptation. ICLR 2022 - [c3]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Fast and Accurate Importance Weighting for Correcting Sample Bias. ECML/PKDD (1) 2022: 659-674 - [i6]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Fast and Accurate Importance Weighting for Correcting Sample Bias. CoRR abs/2209.04215 (2022) - 2021
- [c2]Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. ICTAI 2021: 49-56 - [i5]Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis:
Discrepancy-Based Active Learning for Domain Adaptation. CoRR abs/2103.03757 (2021) - [i4]Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
ADAPT : Awesome Domain Adaptation Python Toolbox. CoRR abs/2107.03049 (2021) - [i3]Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot:
A Binded VAE for Inorganic Material Generation. CoRR abs/2112.09570 (2021) - [i2]Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt
, Guillaume Richard:
Unsupervised Domain Adaptation for Constraining Star Formation Histories. CoRR abs/2112.14072 (2021) - 2020
- [c1]Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis:
Unsupervised Multi-source Domain Adaptation for Regression. ECML/PKDD (1) 2020: 395-411 - [i1]Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. CoRR abs/2006.08251 (2020)
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