CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Yusuke Tashiro, Jiaming Song, Yang Song 0011, Stefano Ermon. CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 24804-24816, 2021. [doi]

@inproceedings{TashiroSSE21,
  title = {CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation},
  author = {Yusuke Tashiro and Jiaming Song and Yang Song 0011 and Stefano Ermon},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/cfe8504bda37b575c70ee1a8276f3486-Abstract.html},
  researchr = {https://researchr.org/publication/TashiroSSE21},
  cites = {0},
  citedby = {0},
  pages = {24804-24816},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}