GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...
GitHub

Building the Virtuous Cycle for AI-driven LLM Systems

FlashInfer-Bench is a benchmark suite and production workflow designed to build a virtuous cycle of self-improving AI systems. It is part of a broader initiative to build the virtuous cycle of AI ...
IEEE

Large AI Model Empowered Multimodal Semantic Communications

Abstract: Multimodal signals, including text, audio, image, and video, can be integrated into semantic communication (SC) systems to provide an immersive experience with low latency and high quality ...
IEEE

A Robust Image Semantic Communication System With Multi-Scale Vision Transformer

Abstract: Semantic communications have demonstrated exceptional performance across various tasks, yet they are susceptible to semantic impairments due to the inherent vulnerability of deep neural ...