François Deheeger

According to our database, François Deheeger authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

J. Mach. Learn. Res., 2025

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm.

Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Unsupervised Representation Learning for Smart Transportation.

Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Maximum Weight Entropy.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2023

Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2023

2022

Fast and Accurate Importance Weighting for Correcting Sample Bias.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Discrepancy-Based Active Learning for Domain Adaptation.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

ADAPT : Awesome Domain Adaptation Python Toolbox.

Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2021

Adversarial Weighting for Domain Adaptation in Regression.

Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021