AINeutralarXiv – CS AI · 7h ago6/10
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Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution
Researchers introduce spherical Cauchy distributions for variational autoencoders operating on hyperspherical latent spaces, offering computational efficiency advantages over von Mises-Fisher distributions while maintaining mathematical rigor. The method combines heavy-tailed global behavior with exact differentiable reparameterization and demonstrates stability across CPU and GPU benchmarks on image and molecular sequence datasets.