chronos-forecasting/README.md

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<div align="center">
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# Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
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[![preprint](https://img.shields.io/static/v1?label=arXiv&message=2412.05244&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2412.05244)
[![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
</div>
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> [!NOTE]
> ~~Code coming soon~~. Code release for WaveToken has been deprioritized due to other engagements. If you are interested in a reference implementation of WaveToken, please open a discussion in this repo.
## 📝 Citation
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If you find the code useful for your research, please consider citing the associated [paper](https://arxiv.org/abs/2412.05244):
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```
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@InProceedings{masserano2024enhancing,
title={Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization},
author={Masserano, Luca and Ansari, Abdul Fatir and Han, Boran and Zhang, Xiyuan and Faloutsos, Christos and Mahoney, Michael W and Wilson, Andrew Gordon and Park, Youngsuk and Rangapuram, Syama and Maddix, Danielle C and and Wang, Yuyang},
booktitle = {Proceedings of the 40th International Conference on Machine Learning},
year={2025}
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}
```
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## 🛡️ Security
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See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.
## 📃 License
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This project is licensed under the Apache-2.0 License.