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., neural networks) in a meaningful way, we need innovative, scalable methodologies that efficiently and accurately capture, represent, and reason about uncertainties within principled frameworks. You will
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methods for data assimilation; and graph-based multi-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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