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08/14/2023
Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI
The Rashōmon effect poses challenges for deriving reliable knowledge fro...
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07/12/2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encod...
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11/10/2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Contrastive Learning has shown impressive results on natural and medical...
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07/05/2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
Subtype Discovery consists in finding interpretable and consistent sub-p...
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06/16/2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
Traditional supervised learning with deep neural networks requires a tre...
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06/02/2021
