IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
GitHub

APN: Rethinking Irregular Time Series Forecasting

This code is the official PyTorch implementation of our AAAI'26 paper: APN: Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. If you find this project helpful, please ...
Winter is Coming

17 epic fantasy series to read if you love The Wheel of Time

There are 14 books in The Wheel of Time series, plus a prequel. They came out between 1990 and 2013. That's 23 years, hundreds of chapters and millions of words of epic fantasy. Rand al'Thor and his ...
IEEE

Vision-Based Time Series Crowd Forecasting Using Semi-Supervised Learning

Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...
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 ...
IGN

A Reading Guide to Robert Jordan's The Wheel of Time Books

The Wheel of Time by Robert Jordan is one of those epic fantasy series that is often spoken of in the same breath as The Lord of the Rings. It is a story filled with its own dramatic history, lands, ...