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Robin Louiset
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2020 – today
- 2024
- [b1]Robin Louiset:
Learning pathological representations in neuroimaging : Predicting psychiatric diagnosis by integrating heterogeneity constraints. (Apprentissage de représentations pathologiques en neuroimagerie : prédiction du diagnostic psychiatrique en intégrant des contraintes d'hétérogénéité). University of Paris-Saclay, France, 2024 - [j1]Benoit Dufumier
, Pietro Gori
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296: 120665 (2024) - [c5]Florence Carton, Robin Louiset, Pietro Gori:
Double InfoGAN for Contrastive Analysis. AISTATS 2024: 172-180 - [c4]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. ICLR 2024 - [c3]Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay:
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI 2024: 1-5 - [i5]Florence Carton, Robin Louiset, Pietro Gori:
Double InfoGAN for Contrastive Analysis. CoRR abs/2401.17776 (2024) - [i4]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori:
Separating common from salient patterns with Contrastive Representation Learning. CoRR abs/2402.11928 (2024) - 2023
- [c2]Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori:
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML 2023: 8851-8878 - [i3]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori:
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR abs/2307.06206 (2023) - 2022
- [i2]Benoit Dufumier, Carlo Alberto Barbano
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR abs/2206.01646 (2022) - 2021
- [c1]Robin Louiset
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) 2021: 755-771 - [i1]Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR abs/2107.01988 (2021)
Coauthor Index
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last updated on 2024-12-09 23:07 CET by the dblp team
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