A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

CompatibL wins the Best modelling innovation award for the second year running, this time for creating a new type of interest rate model based on autoencoders. Autoencoders are machine learning ...

This method, known as GenoDrawing, involves training the autoencoder with a large dataset of apple images. The generated embeddings, along with SNP data, are then used to predict and reconstruct ...