On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis

Abstract: Nonlinear independent component analysis (nICA) aims at recovering statistically independent latent components that are mixed by unknown nonlinear functions. Central to nICA is the identifiability ...
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