Besides, their complexity hampers the optimization involved in latent MAP derivation. In this work, we first propose to use compressive autoencoders instead. These networks, which can be seen as ...

This study explores the application of Variational Autoencoders (VAEs) for generating synthetic electroencephalography (EEG) data pertinent to psychiatric disorders. Using the Kaggle EEG Psychiatric ...