Duchesnay, Edouard

6 publications

MIDL 2024 SepVAE: A Contrastive VAE to Separate Pathological Patterns from Healthy Ones Robin Louiset, Edouard Duchesnay, Grigis Antoine, Benoit Dufumier, Pietro Gori

ICLR 2024 Separating Common from Salient Patterns with Contrastive Representation Learning Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori

ICML 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

ICMLW 2023 SepVAE: A Contrastive VAE to Separate Pathological Patterns from Healthy Ones. Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori

ECML-PKDD 2021 UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay

MLOSS 2011 Scikit-Learn: Machine Learning in Python Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay