The paper claims that KL-induced compactness, not stochasticity, is the key to VAE generative capability, supported by new latent-space uniformity metrics and codebook regularizer experiments.
Deep generative clustering with vaes and expectation- maximization
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From Points to Spheres: A Geometric Reinterpretation of Variational Autoencoders
The paper claims that KL-induced compactness, not stochasticity, is the key to VAE generative capability, supported by new latent-space uniformity metrics and codebook regularizer experiments.