An example implementation of a three-dimensional (3D) Vector-Quantized Variational Autoencoder (VQ-VAE) prototype, here used for the compression task of 3D data cubes. This 3D VQ-VAE is an extension ...

Write a program to implement vector quantization on a gray-scale image using a "vector" that consists of a 4x4 block of pixels. Design your codebook using all the blocks in the image as training data, ...

Abstract: Telecommunication networks are spreading worldwide. People can communicate with each other beyond spacial restrictions using the Internet. In this situation, the demand for transmission ...

Scaling model size significantly challenges the deployment and inference of Large Language Models (LLMs). Due to the redundancy in LLM weights, recent research has focused on pushing weight-only ...