Aux-VAE splits a VAE latent space into supervised dimensions aligned with known generative factors and residual dimensions, using polynomial correlation penalties to enforce disentanglement.
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Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets
Aux-VAE splits a VAE latent space into supervised dimensions aligned with known generative factors and residual dimensions, using polynomial correlation penalties to enforce disentanglement.