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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.LG2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Cyrille Simon, Pascal Frossard, Christophe De Vleeschouwer
This paper explores self-supervised disentangled representation learning within sequential data, focusing on separating time-independent and time-varying factors in videos. We prop…