Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift

Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo. Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, 2022. [doi]

@inproceedings{KimKTPCC22,
  title = {Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift},
  author = {Taesung Kim and Jinhee Kim and Yunwon Tae and Cheonbok Park and Jang-Ho Choi and Jaegul Choo},
  year = {2022},
  url = {https://openreview.net/forum?id=cGDAkQo1C0p},
  researchr = {https://researchr.org/publication/KimKTPCC22},
  cites = {0},
  citedby = {0},
  booktitle = {The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022},
  publisher = {OpenReview.net},
}