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.