Table Of Contents
Table Of Contents


[BKH16]Ba, Jimmy Lei, Jamie Ryan Kiros, and Geoffrey E. Hinton. “Layer normalization.” arXiv preprint arXiv:1607.06450 (2016).
[BKK18]Bai, Shaojie, J. Zico Kolter, and Vladlen Koltun. “An empirical evaluation of generic convolutional and recurrent networks for sequence modeling.” arXiv preprint arXiv:1803.01271 (2018).
[LCY+18]Lai, Guokun, et al. “Modeling long-and short-term temporal patterns with deep neural networks.” The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM, 2018.
[ODZ+16]Oord, Aaron van den, et al. “Wavenet: A generative model for raw audio.” arXiv preprint arXiv:1609.03499 (2016).
[PKC+16]Paine, Tom Le, et al. “Fast wavenet generation algorithm.” arXiv preprint arXiv:1611.09482 (2016).
[RSG+18]Rangapuram, Syama Sundar, et al. “Deep state space models for time series forecasting.” Advances in Neural Information Processing Systems. 2018.
[SFG17]Salinas, David, Valentin Flunkert, and Jan Gasthaus. “DeepAR: Probabilistic forecasting with autoregressive recurrent networks.” arXiv preprint arXiv:1704.04110 (2017).
[WTN+17]Wen, Ruofeng, et al. “A multi-horizon quantile recurrent forecaster.” arXiv preprint arXiv:1711.11053 (2017).
[YRD15]Yu, Hsiang-Fu, Nikhil Rao, and Inderjit S. Dhillon. “High-dimensional time series prediction with missing values.” arXiv preprint arXiv:1509.08333 (2015).