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This paper shows that masked autoencoder with extrapolator (ExtraMAE) is a scalable self-supervised model for time series generation.
Singular value decomposition and least squares solutions
Gene H Golub and Christian Reinsch · 1971
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Applications of advances in nonlinear sensitivity analysis
Paul J Werbos · 1982
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Principal component analysis
Svante Wold, Kim Esbensen, and Paul Geladi · 1987
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Finding structure in time
Jeffrey L Elman · 1990
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal · 1997
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Spectral regularization algorithms for learning large incomplete matrices
Rahul Mazumder, Trevor Hastie, and Robert Tibshirani · 2010
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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C-rnn-gan: Continuous recurrent neural networks with adversarial training
Olof Mogren · 2016
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Nearest neighbor imputation algorithms: a critical evaluation
Lorenzo Beretta and Alessandro Santaniello · 2016
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Real-valued (medical) time series generation with recurrent conditional gans
Cristóbal Esteban, Stephanie L Hyland, and Gunnar Rätsch · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction
Energy dataset · 2017
Cited alongside, same era.
Brits: Bidirectional recurrent imputation for time series
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, and Yitan Li · 2018
Cited alongside, same era.
Autoencoders as weight initialization of deep classification networks for cancer versus cancer studies
Mafalda Falcao Ferreira, Rui Camacho, and Luis F Teixeira · 2018
Cited alongside, same era.
Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, and Xifeng Yan · 2019
Cited alongside, same era.
Continuous patient-centric sequence generation via sequentially coupled adversarial learning
N-beats: Neural basis expansion analysis for interpretable time series forecasting
Boris N Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio · 2020
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Generating synthetic data in finance: Opportunities, challenges and pitfalls
Samuel A. Assefa · 2020
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Time series data imputation: A survey on deep learning approaches
Chenguang Fang and Chen Wang · 2020
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Conditional sig-wasserstein gans for time series generation
Hao Ni, Lukasz Szpruch, Magnus Wiese, Shujian Liao, and Baoren Xiao · 2020
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Synsiggan: Generative adversarial networks for synthetic biomedical signal generation
Debapriya Hazra and Yung-Cheol Byun · 2020
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Lu Wang, Wei Zhang, and Xiaofeng He · 2019
Cited alongside, same era.
Nr-gan: Noise reduction gan for mice electroencephalogram signals
Yuki Sumiya, Kazumasa Horie, Hiroaki Shiokawa, and Hiroyuki Kitagawa · 2019
Cited alongside, same era.
Time-series generative adversarial networks
Jinsung Yoon, Daniel Jarrett, and Mihaela Van der Schaar · 2019
Cited alongside, same era.
Stabilizing generative adversarial networks: A survey
Maciej Wiatrak, Stefano V Albrecht, and Andrew Nystrom · 2019
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Statistical analysis with missing data
Roderick JA Little and Donald B Rubin · 2019
Cited alongside, same era.
https://github.com/jsyoon0823/TimeGAN
Source code of timegan
Cited in the paper.
Decision-aware conditional gans for time series data
He Sun, Zhun Deng, Hui Chen, and David C Parkes · 2020
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Jiehui Xu, Jianmin Wang, Mingsheng Long, et al · 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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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2021
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https://github.com/jsyoon0823/TimeGAN/blob/master/data/stock_data.csv
Stock dataset · 2021
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Beit: Bert pre-training of image transformers
Hangbo Bao, Li Dong, and Furu Wei · 2022
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