1 results match your criteria: "Center for Excellence in Mathematical Science[Affiliation]"
Towards understanding residual and dilated dense neural networks via convolutional sparse coding.
Natl Sci Rev
March 2021
National Center for Mathematics and Interdisciplinary Sciences, Center for Excellence in Mathematical Science, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
Convolutional neural network (CNN) and its variants have led to many state-of-the-art results in various fields. However, a clear theoretical understanding of such networks is still lacking. Recently, a multilayer convolutional sparse coding (ML-CSC) model has been proposed and proved to equal such simply stacked networks (plain networks).
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