Conditional Variational Autoencoder (CVAE) on MNIST. This project implements a Conditional VAE trained on MNIST to generate digits conditioned on labels. 🧠 Features. Conditional image generation ...

This paper investigates the downlink of an internet-of-things (IoT) network with a base station serving multiple IoT devices (IoTDs) with the assistance of two far-apart reconfigurable intelligent ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech.. Several recent end-to-end text-to-speech (TTS) models enabling ...

To overcome the lack of assay samples for spectral calibration modeling in engineering practice, a data augmentation (DA) approach is introduced to generate virtual samples possessing a similar ...

Materials design stands to be one of the most promising applications of quantum computing. However, the presence of noise in near-term quantum devices restricts quantum simulations of materials to ...