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> the forward pass in a deep learning model is almost certainly way faster than simulating the next step in a numerical simulation

Is this the case in most of such refinements (architecture wise)?

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Practically speaking yes. You'd not likely build a statistical model when you could build a good simulation of the underlying process if the simulation was already really fast and accurate.

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