374 citations · 941 across the 27 of their papers we have counts for
4 papers · 1 filter
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala +4
Recovering high-resolution images from limited sensory data typically leads to a serious ill-posed inverse problem, demanding inversion algorithms that effectively capture the prio…
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
Jeremias Sulam, Vardan Papyan, Yaniv Romano +1
The recently proposed Multi-Layer Convolutional Sparse Coding (ML-CSC) model, consisting of a cascade of convolutional sparse layers, provides a new interpretation of Convolutional…
Convolutional Dictionary Learning via Local Processing
Vardan Papyan, Yaniv Romano, Jeremias Sulam +1
Convolutional Sparse Coding (CSC) is an increasingly popular model in the signal and image processing communities, tackling some of the limitations of traditional patch-based spars…
Multimodal Latent Variable Analysis
Vardan Papyan, Ronen Talmon
Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variabi…