This repository contains the complete LuaTeX source code and the final PDF of the literature survey, "The Rise of Diffusion Models in Time-Series Forecasting" authored by Caspar Meijer and Lydia Y. Chen. This comprehensive survey delves into the application of diffusion models in time-series forecasting, demonstrating state-of-the-art results in various fields of generative AI.
- Caspar Meijer, EEMCS Distributed Systems, Delft University of Technology, c.j.meijer-1@student.tudelft.nl
- Lydia Y. Chen, EEMCS Distributed Systems, Delft University of Technology, lydiaychen@ieee.org
If the work has helped you in your endevors, or you use any of the latex illustrations / figures:
@misc{meijer2024rise,
title={The Rise of Diffusion Models in Time-Series Forecasting},
author={Caspar Meijer and Lydia Y. Chen},
year={2024},
eprint={2401.03006},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
For any further questions or inquiries, please open an issue or contact Caspar directly.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
