arXiv stat.ML
· Papers
Missing Data Imputation under Manifold Hypothesis
arXiv:2607.03641v1 Announce Type: new Abstract: The manifold hypothesis posits that high-dimensional data are concentrated near a low-dimensional embedded manifold. Recent advances in mixture variational autoencoders (VAEs) provide a powerful tool for extracting such underlying structure in a faithful manner. The resul