Learning Holographic Reduced Representations with Clifford Variational Autoencoders
Clifford-VAE learns torus embeddings that beat Gaussian VAEs on vector-symbolic binding and capacity tests.
Stories per day · 30 days
3 stories, newest first · one card per story
Stories tagged #variational-autoencoder
Does Syntax Matter? A Graph-Augmented Variational Topic Model for Computational Social Sciences
SCPTM graph-augmented variational topic model shows syntax aids topic diversity and descriptor quality but gains stem mainly from the variational encoder.
Learning Sparse Decision Trees via Transformer Variational Auto-Encoders
TREVIS uses a Tree Transformer VAE latent space to learn decision trees matching near-optimal predictive performance while improving structural sparsity.