704 citations · 3.6k across the 98 of their papers we have counts for
5 papers · 1 filter
On the Stability of Deep Networks
Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
In this work we study the properties of deep neural networks (DNN) with random weights. We formally prove that these networks perform a distance-preserving embedding of the data. B…
Sampling in the Analysis Transform Domain
Raja Giryes
Many signal and image processing applications have benefited remarkably from the fact that the underlying signals reside in a low dimensional subspace. One of the main models for s…
On the Effective Measure of Dimension in the Analysis Cosparse Model
Raja Giryes, Yaniv Plan, Roman Vershynin
Many applications have benefited remarkably from low-dimensional models in the recent decade. The fact that many signals, though high dimensional, are intrinsically low dimensional…
Sparsity Based Methods for Overparameterized Variational Problems
Raja Giryes, Michael Elad, Alfred M. Bruckstein
Two complementary approaches have been extensively used in signal and image processing leading to novel results, the sparse representation methodology and the variational strategy.…
Near Oracle Performance and Block Analysis of Signal Space Greedy Methods
Raja Giryes, Deanna Needell
Compressive sampling (CoSa) is a new methodology which demonstrates that sparse signals can be recovered from a small number of linear measurements. Greedy algorithms like CoSaMP h…