2026
Bi-Lipschitz Autoencoder With Injectivity Guarantee
ICLR 2026poster
Autoencoders are widely used for dimensionality reduction, based on the assumption that high-dimensional data lies on low-dimensional manifolds. Regularized autoencoders aim to preserve manifold geometry during dimensionality reduction, but existing approaches often suffer from non-injective mapping…