Structured sparsity in optical kernels, local sparse for free-space and block-diagonal for photonic chips, reduces the spatial scaling of optical computing from linear to sublinear in the maximum overlapping nonlocality, with modest accuracy loss.
Visual interpretability for deep learning: a survey.Frontiers of Information Technology & Electronic Engineering , 19(1):27–39, Jan 2018
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The Spatial Complexity of Optical Computing and How to Reduce It
Structured sparsity in optical kernels, local sparse for free-space and block-diagonal for photonic chips, reduces the spatial scaling of optical computing from linear to sublinear in the maximum overlapping nonlocality, with modest accuracy loss.