PhD student, University of Virginia, Charlottesville
1 paper at NeurIPS 2025
We introduce Deep Taxonomic Networks, a deep latent variable approach that uses a complete binary-tree mixture-of-Gaussians prior in a VAE framework to discover interpretable hierarchical taxonomies and prototype clusters from unlabeled data
