Abstract: Accurate forecasting of the treasury bond market is beneficial ... This paper integrates the ideas of improved multivariate time series sampling and deep learning prediction model structure ...

This code is the official PyTorch implementation of our KDD'25 paper: DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. If you find this project helpful, please don't forget to give ...

The proposed MITN pioneers ideal multivariate time series forecasting for complex online oil monitoring, with the potential to enhance the operational safety of large petrochemical plants.

Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for ...

The outlet also reported that the show will be in the same present-day time frame as the flagship series. There are several other “Yellowstone” spinoffs in the works, including an upcoming one ...

Following polling at the time, we discounted Trump’s re-election chances. Japanese interest rates did rise above zero; investors didn’t move back into bonds as expected; X didn’t go bankrupt ...

Jan. 1, 2025 — Astronomers pinned down the origins of at least one fast radio burst, a brief and brilliant explosion of radio waves emitted by an extremely compact object. The team's novel ...

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ...

Devised by the search engine firm’s AI division, DeepMind, the “GenCast” model can tell if it’s going to rain 15 days ahead of time at a ... s top operational forecasting system, per ...