Poincaré Wasserstein Autoencoder
- Type
- paper-conference
- Venue / status
- Bayesian Deep Learning Workshop (NeurIPS 2018)
Status: Workshop paper; arXiv version published in 2019.
Summary: Combines Wasserstein autoencoders with hyperbolic latent geometry for representation learning in non-Euclidean spaces.