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cs.LG2026
Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
Mathieu Cyrille Simon, Pascal Frossard, Christophe De Vleeschouwer
This paper explores unsupervised disentangled representation learning from a functional perspective. We define latent concepts as factors that influence observations through locall…
cs.LG2023★ 3 cited
An Experimental Investigation into the Evaluation of Explainability Methods
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack +7
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerg…