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🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉). 🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series. 🚩 ...

College of Business, San Francisco State University, San Francisco, USA. Department of Operations Management and Information Technology, HEC School of Management, Paris, France. ETFs are baskets of ...

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources. Awesome Deep Learning for Time-Series ...

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From a technical exploration standpoint, this paper proposes a time series forecasting framework based on LLMs. The proposed method outperforms SOTA deep learning approaches in terms of model ...