| Integrating prior knowledge in contrastive learning with kernel B Dufumier, CA Barbano, R Louiset, E Duchesnay, P Gori International Conference on Machine Learning, 8851-8878, 2023 | 14 | 2023 |
| Exploring the potential of representation and transfer learning for anatomical neuroimaging: application to psychiatry B Dufumier, P Gori, S Petiton, R Louiset, JF Mangin, A Grigis, ... NeuroImage, 120665, 2024 | 8 | 2024 |
| Double InfoGAN for Contrastive Analysis F Carton, R Louiset, P Gori Artificial Intelligence and Statistics - AISTATS 2024, 2024 | 6 | 2024 |
| SepVAE: a contrastive VAE to separate pathological patterns from healthy ones R Louiset, E Duchesnay, A Grigis, B Dufumier, P Gori ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023, 2023 | 6 | 2023 |
| Ucsl: A machine learning expectation-maximization framework for unsupervised clustering driven by supervised learning R Louiset, P Gori, B Dufumier, J Houenou, A Grigis, E Duchesnay Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 5 | 2021 |
| Separating common from salient patterns with Contrastive Representation Learning R Louiset, E Duchesnay, A Grigis, P Gori International Conference on Representation Learning - ICLR 2024, 2024 | 3 | 2024 |
| Rethinking positive sampling for contrastive learning with kernel B Dufumier, CA Barbano, R Louiset, E Duchesnay, P Gori | 3 | 2022 |
| Learning pathological representations in neuroimaging: Predicting psychiatric diagnosis by integrating heterogeneity constraints R Louiset Université Paris-Saclay, 2024 | 1 | 2024 |
| SUPERVISED DIAGNOSIS PREDICTION FROM CORTICAL SULCI: TOWARD THE DISCOVERY OF EURODEVELOPMENTAL BIOMARKERS IN MENTAL DISORDERS P Auriau, A Grigis, B Dufumier, R Louiset, P Gori, JF Mangin, ... 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024 | 1 | 2024 |
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