Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh 0005, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister. Interpretable Sequence Learning for Covid-19 Forecasting. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]
@inproceedings{ArikLYSELM0ZNSN20,
title = {Interpretable Sequence Learning for Covid-19 Forecasting},
author = {Sercan Ömer Arik and Chun-Liang Li and Jinsung Yoon and Rajarishi Sinha and Arkady Epshteyn and Long T. Le and Vikas Menon and Shashank Singh 0005 and Leyou Zhang and Martin Nikoltchev and Yash Sonthalia and Hootan Nakhost and Elli Kanal and Tomas Pfister},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/d9dbc51dc534921589adf460c85cd824-Abstract.html},
researchr = {https://researchr.org/publication/ArikLYSELM0ZNSN20},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}