qingsongedu/awesome-AI-for-time-series-papers
A curated list of AI research papers on time series analysis from top conferences and journals.
★1.6k stars Learning
Not currently ranked — collecting fresh signals.
star history
This repository compiles papers, tutorials, and surveys on AI for time series analysis across major AI/ML venues including NeurIPS, ICML, ICLR, AAAI, KDD, and WWW. It covers forecasting, anomaly detection, temporal modeling, deep learning, and spatio-temporal analysis. The list is updated as papers are accepted at top conferences and includes papers with available code.
Frequently asked
- What is qingsongedu/awesome-AI-for-time-series-papers?
- A curated list of AI research papers on time series analysis from top conferences and journals.
- Is awesome-AI-for-time-series-papers open source?
- Yes — qingsongedu/awesome-AI-for-time-series-papers is open source, released under the MIT license.
- How popular is awesome-AI-for-time-series-papers?
- qingsongedu/awesome-AI-for-time-series-papers has 1.6k stars on GitHub.
- Where can I find awesome-AI-for-time-series-papers?
- qingsongedu/awesome-AI-for-time-series-papers is on GitHub at https://github.com/qingsongedu/awesome-AI-for-time-series-papers.