128 citations · 329 across the 32 of their papers we have counts for
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cs.LG2018
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals
Yael Yankelevsky, Michael Elad
Modern data introduces new challenges to classic signal processing approaches, leading to a growing interest in the field of graph signal processing. A powerful and well establishe…
cs.LG2018
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks
Jeremias Sulam, Aviad Aberdam, Amir Beck +1
Parsimonious representations are ubiquitous in modeling and processing information. Motivated by the recent Multi-Layer Convolutional Sparse Coding (ML-CSC) model, we herein genera…
cs.LG2018
Deep-Energy: Unsupervised Training of Deep Neural Networks
Alona Golts, Daniel Freedman, Michael Elad
The success of deep learning has been due, in no small part, to the availability of large annotated datasets. Thus, a major bottleneck in current learning pipelines is the time-con…