Hugo Schmutz

According to our database1, Hugo Schmutz authored at least 5 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

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).
PhD thesis, 2023

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Proceedings of the International Conference on Machine Learning, 2023

Don't fear the unlabelled: safe semi-supervised learning via debiasing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing.
CoRR, 2022

Model-agnostic out-of-distribution detection using combined statistical tests.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022


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