arXiv cs.LG
· Papers
Latent Spectroscopy: Posterior Collapse as a Feature
arXiv:2605.22691v2 Announce Type: replace Abstract: We show that, in linear Gaussian VAEs, posterior collapse is a form of latent feature selection. Feature importance is set by each latent coordinate's contribution to reconstruction, itself given by the corresponding PCA eigenvalue. Varying the regularizer strength $