Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou. Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{LiLWD22-0,
  title = {Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement},
  author = {Yan Li and Xinjiang Lu and Yaqing Wang and Dejing Dou},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/91a85f3fb8f570e6be52b333b5ab017a-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/LiLWD22-0},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}