An ISA-style Lp-nested prior over VAE latents improves disentanglement and reduces the reconstruction/regularization trade-off compared to modified-ELBO methods like beta-VAE.
β-vae: Learning basic visual concepts with a con- strained variational framework,
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Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
An ISA-style Lp-nested prior over VAE latents improves disentanglement and reduces the reconstruction/regularization trade-off compared to modified-ELBO methods like beta-VAE.