François Deheeger

11 papers A* 2B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization.
J. Mach. Learn. Res.
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2025 A* conf
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm.
AAAI
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2025 J jnl
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm.
CoRR
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2024 — conf
Unsupervised Representation Learning for Smart Transportation.
IDA (2)
Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger
2023 J jnl
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification.
CoRR
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2023 J jnl
Maximum Weight Entropy.
CoRR
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022 A* conf
Discrepancy-Based Active Learning for Domain Adaptation.
ICLR
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022 — conf
Fast and Accurate Importance Weighting for Correcting Sample Bias.
ECML/PKDD (1)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022 J jnl
Fast and Accurate Importance Weighting for Correcting Sample Bias.
CoRR
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2021 J jnl
ADAPT : Awesome Domain Adaptation Python Toolbox.
CoRR
Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
2021 B conf
Adversarial Weighting for Domain Adaptation in Regression.
ICTAI
Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis