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

Variational Autoencoders explained from scratch

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining