A post-hoc Re-Bottleneck network trained only in latent space can impose ordering, semantic alignment, or equivariance on pre-trained audio autoencoder latents with little extra compute.
real” latents (those directly fromA E(x)and “fake
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Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders
A post-hoc Re-Bottleneck network trained only in latent space can impose ordering, semantic alignment, or equivariance on pre-trained audio autoencoder latents with little extra compute.