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In this paper, we introduce FITS, a lightweight yet powerful model for time series analysis.
N-BEATS: neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio · 1905
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The fast fourier transform
E. O. Brigham and R. E. Morrow · 1967
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Swat: a water treatment testbed for research and training on ics security
Aditya P. Mathur and Nils Ole Tippenhauer · 2016
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Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding
Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, and Tom Soderstrom · 2018
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Unsupervised anomaly detection via variational auto-encoder for seasonal KPIs in web applications
Haowen Xu, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, and Dan Pei · 2018
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Robust anomaly detection for multivariate time series through stochastic recurrent neural network
Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, and Dan Pei · 2019
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Timeseries anomaly detection using temporal hierarchical one-class network
Lifeng Shen, Zhuocong Li, and James Kwok · 2020
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Practical approach to asynchronous multivariate time series anomaly detection and localization
Ahmed Abdulaal, Zhuanghua Liu, and Tomer Lancewicki · 2021
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Revisiting time series outlier detection: Definitions and benchmarks
Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, and Xia Hu · 2021
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Reversible instance normalization for accurate time-series forecasting against distribution shift
Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, and Jaegul Choo · 2022
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Anomaly transformer: Time series anomaly detection with association discrepancy, 2022
Jiehui Xu, Haixu Wu, Jianmin Wang, and Mingsheng Long · 2022
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Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, and Jian Li · 2022
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Nhits: neural hierarchical interpolation for time series forecasting
Cristian Challu, Kin G Olivares, Boris N Oreshkin, Federico Garza Ramirez, Max Mergenthaler Canseco, and Artur Dubrawski · 2023
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A time series is worth 64 words: Long-term forecasting with transformers
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2023
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Timesnet: Temporal 2d-variation modeling for general time series analysis
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long · 2023
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Fnet: Mixing tokens with fourier transforms, 2022
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, and Santiago Ontanon · 2022
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Etsformer: Exponential smoothing transformers for time-series forecasting, 2022
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, and Steven Hoi · 2022
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N-hits: Neural hierarchical interpolation for time series forecasting
Cristian Challu, Kin G Olivares, Boris N Oreshkin, Federico Garza, Max Mergenthaler, and Artur Dubrawski
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Deep generative model with hierarchical latent factors for time series anomaly detection
Cristian I Challu, Peihong Jiang, Ying Nian Wu, and Laurent Callot
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Scinet: Time series modeling and forecasting with sample convolution and interaction
Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, and Qiang Xu
Cited in the paper.
Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, and Schahram Dustdar
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin
Cited in the paper.
Are transformers effective for time series forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang, and Qiang Xu · 2023
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