Chika Obata

Intrinsic-Dimension-Guided Bottleneck Selection for Variational Autoencoders with Active-Unit Diagnostics

Intrinsic-dimension (ID) estimates and active-unit diagnostics address different aspects of variational-autoencoder bottleneck selection. We evaluate search policies on four image datasets, five training seeds and five regularisation weights under explicit validation targets and common candidate costs. Holding reliabil...