Abstract: Effective resource allocation in telecommunication networks can benefit from accurate demand forecasting to optimize performance and prevent inefficiencies such as resource over-provisioning ...

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In its periodic update of economic conditions, the Organization for Economic Cooperation and Development forecast all-items inflation in the U.S. to be at 4.2% for 2026. The forecast is a sharp step ...

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 ...

Abstract: This paper explores the role of multivariate probabilistic forecasting in improving O-RAN operations, focusing on network sustainability aspects. A comprehensive analysis of its potential ...

AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...

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Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

Thank you for your interesting tutorial！ I would like to use the TabPFN-TS model to perform predictions on a multivariate time series dataset. The dataset contains one column of temporal information ...

The National Science Foundation will sunset funding for a $20 million artificial intelligence institute designed to improve weather forecasting, a move that could sever a pipeline of scientists from ...