Search Results for author: Fred Zyda

Found 1 papers, 0 papers with code

Deep Learning for Day Forecasts from Sparse Observations

no code implementations6 Jun 2023 Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alexander Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner

The ability of neural models to make a prediction in less than a second once the data is available and to do so with very high temporal and spatial resolution, and the ability to learn directly from atmospheric observations, are just some of these models' unique advantages.

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