GitHub

Reducio-VAE

Reducio-VAE was developed to enable high compression ratio on videos, supporting efficient video generation. Existing 3D VAEs are generally extended from 2D VAE, which is designed for image generation ...
IEEE

Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification

Abstract: Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a ...
GitHub

Variational Autoencoders (VAE) on MNIST

This project demonstrates the implementation of a Variational Autoencoder (VAE) using TensorFlow and Keras on the MNIST dataset. The VAE is a generative model that learns to encode input data into a ...
IEEE

Leveraging Variational Autoencoders for Parameterized MMSE Estimation

Abstract: In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator ...