David P. Kreil, Michael K. Kopp 0001, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter. The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. In Hugo Jair Escalante, Raia Hadsell, editors, NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers. Volume 123 of Proceedings of Machine Learning Research, pages 232-241, PMLR, 2019. [doi]
@inproceedings{KreilKJNGHMSH19,
title = {The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019},
author = {David P. Kreil and Michael K. Kopp 0001 and David Jonietz and Moritz Neun and Aleksandra Gruca and Pedro Herruzo and Henry Martin and Ali Soleymani and Sepp Hochreiter},
year = {2019},
url = {http://proceedings.mlr.press/v123/kreil20a.html},
researchr = {https://researchr.org/publication/KreilKJNGHMSH19},
cites = {0},
citedby = {0},
pages = {232-241},
booktitle = {NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers},
editor = {Hugo Jair Escalante and Raia Hadsell},
volume = {123},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}