Sparse Modeling and Deep Learning
July 14, 2018.
ICML 2018, Stockholm Sweden

Sparse approximation is a well-established theory, with a profound impact on the fields of signal and image processing. In this talk, we describe a special case of this model— the multi-layered convolutional sparse coding (ML-CSC) construction. As we will carefully show, ML-CSC provides a solid theoretical foundation to the field of deep learning, explaining the used architectures, their performance limits, and prospects for future alternatives.

This is an invited talk in an ICML workshop, titled "The theory of deep learning", and organized by Rene Vidal, Joan Bruna and Raja Giryes. The same talk has been given in a symposium on deep-learning in ICSEE in Eilat on December 13th 2018.