Convolutional Autoencoder for Speech Compression Autoencoders, as defined by [1], are neural networks with a central layer smaller than the inputs that have the property to perform dimensionality ...

Autoencoder Image Compression and Reconstruction This repository demonstrates a simple autoencoder model for compressing and reconstructing images. The autoencoder is built using TensorFlow and Keras ...

Abstract: In this paper, we propose a Variational Bayesian Autoencoder (VBA)-based channel state information (CSI) compression and feedback scheme for massive multiple-input multiple-output (MIMO) ...

Abstract: Error-bounded lossy compression is becoming an indispensable technique for the success of today’s scientific projects with vast volumes of data produced during the simulations or instrument ...

Learn how autoencoders and GANs can help you with anomaly detection and data compression, and what are their differences and trade-offs. Agree & Join LinkedIn ...

Scanning transmission electron microscopy tomography with ChromEM staining (ChromSTEM), has allowed for the three-dimensional study of genome organization. By leveraging convolutional neural networks ...