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Helmut Boelcskei

1 accepted papers

2016

Discrete Deep Feature Extraction: A Theory and New Architectures

ICML 2016poster

First steps towards a mathematical theory of deep convolutional neural networks for feature extraction were made—for the continuous-time case—in Mallat, 2012, and Wiatowski and Bölcskei, 2015. This paper considers the discrete case, introduces new convolutional neural network architectures, and prop…

Cited by 29SourcePDFScholar