Hugo Schmutz

According to our database, Hugo Schmutz authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

2023

Semi-supervised learning, PET/CT segmentation and prediction of the tumoral response to immunotherapy. (Apprentissage semi-supervisé, segmentation d'images TEP/TDM et prédiction de la réponse tumorale à l'immunothérapie).

Hugo Schmutz

PhD thesis, 2023

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.

Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei

Proceedings of the International Conference on Machine Learning, 2023

Don't fear the unlabelled: safe semi-supervised learning via debiasing.

Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing.

Hugo Schmutz, Olivier Humbert, Pierre-Alexandre Mattei

CoRR, 2022

Model-agnostic out-of-distribution detection using combined statistical tests.

Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022