The Poisson Variational Autoencoder (PVAE) is a type of variational autoencoder specifically designed for modeling count data, such as word frequencies or event counts. It addresses the limitations of ...

An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...

Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...