Priscilla Ong

Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models

High-dimensional time-series datasets are common in domains such as healthcare and economics. Variational autoencoder (VAE) models, where latent variables are modeled with a Gaussian process (GP) prior, have become a prominent model class to analyze such correlated datasets. However, their applicati…