Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective

Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen. Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LiuCLHLXC23,
  title = {Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective},
  author = {Zhiding Liu and Mingyue Cheng and Zhi Li and Zhenya Huang and Qi Liu and Yanhu Xie and Enhong Chen},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/2e19dab94882bc95ed094c4399cfda02-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/LiuCLHLXC23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}