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20182026
most citedHybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

310 citations · 419 across the 8 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020★ 66 cited

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems

Alexander Wikner, Jaideep Pathak, Brian Hunt +5

We consider the commonly encountered situation (e.g., in weather forecasting) where the goal is to predict the time evolution of a large, spatiotemporally chaotic dynamical system…