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Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation

A new variational autoencoder architecture using spherical Cauchy distributions for directional data with heavy angular tails and exact KL evaluation.

A new variational autoencoder architecture using spherical Cauchy distributions for directional data with heavy angular tails and exact KL evaluation.

Auto-scored: This is a purely technical machine learning paper with no direct AI risk or mitigation implications.