arXiv stat.ML
· Papers
Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry
arXiv:2607.00669v1 Announce Type: cross Abstract: Autoencoders (AEs) have emerged as powerful tools for non-linear dimensionality reduction, often surpassing traditional linear methods such as Proper Orthogonal Decomposition (POD) in scenarios characterized by slowly decaying Kolmogorov $n$-widths. In the realm of Redu