The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019

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]

Authors

David P. Kreil

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Michael K. Kopp 0001

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David Jonietz

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Moritz Neun

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Aleksandra Gruca

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Pedro Herruzo

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Henry Martin

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Ali Soleymani

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Sepp Hochreiter

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