AI RESEARCH
Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance
arXiv CS.LG
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ArXi:2402.14031v2 Announce Type: replace-cross This paper presents an autoencoder with ordered variance (AEO), in which the conventional reconstruction loss is augmented by a variance-based regularization term that promotes an ordered structure within the latent space. In this structure, the latent variables are ordered by their variance computed over the