AI RESEARCH
Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
arXiv CS.AI
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ArXi:2604.13218v1 Announce Type: cross Causal representation learning (CRL) aims to identify the underlying latent variables from high-dimensional observations, even when variables are dependent with each other. We study this problem for latent variables that follow a potentially degenerate Gaussian mixture distribution and that are only observed through the transformation via a piecewise affine mixing function.