Time series forecasting faces significant challenges due to highly heterogeneous distributions across domains and limited data coverage of real-world scenarios. UniVQ addresses these challenges ...

Abstract: In this study, we introduce an innovative signal to interference and noise ratio (SINR) time sequence feedback scheme based on vector quantization variational autoencoder (VQ-VAE). We ...

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...