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State estimation of urban air pollution with statistical, physical, and super-learning graph models
We consider the problem of real-time reconstruction of urban air pollution maps.
Uncovering differential equations from data with hidden variables
SINDy is a method for learning system of differential equations from data by solving a sparse linear regression optimization problem [Brunton et al., 2016].
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