Such an object has no smoothness; in mathematical terms, it is not differentiable.
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And yet two of the terms in the KPZ equation call for the object to be differentiable.
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In this paper, we propose a differentiable global-flow local-attention framework to reassemble the inputs at the feature level.
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Main results: Participants were capable of generating robust cortical modulation that was differentiable across attempted arm and hand movements of their paralyzed limb.