AI • Machine Learning • Tech on Instagram: "A variational autoencoder (VAE) is a generative model that learns to represent data not as fixed points, but as probability distributions in a hidden space. Like other neural networks, it uses large matrices with tunable parameters to process the input, but instead of producing a single compressed vector, it outputs a mean and variance that define a distribution the input could come from. During training, the model samples from this distribution and tr

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data | Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Variational Autoencoder (VAE) Uses and Benefits