704 citations · 3.6k across the 98 of their papers we have counts for
6 papers · 1 filter
Mathematics of Deep Learning
Rene Vidal, Joan Bruna, Raja Giryes +1
Recently there has been a dramatic increase in the performance of recognition systems due to the introduction of deep architectures for representation learning and classification.…
Shallow Transits - Deep Learning I: Feasibility Study of Deep Learning to Detect Periodic Transits of Exoplanets
Shay Zucker, Raja Giryes
Transits of habitable planets around solar-like stars are expected to be shallow, and to have long periods, which means low information content. The current bottleneck in the detec…
Learned Convolutional Sparse Coding
Hillel Sreter, Raja Giryes
We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA (LISTA) method, and a…
Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces
Tom Tirer, Raja Giryes
The idea that signals reside in a union of low dimensional subspaces subsumes many low dimensional models that have been used extensively in the recent decade in many fields and ap…
Deep Class Aware Denoising
Tal Remez, Or Litany, Raja Giryes +1
The increasing demand for high image quality in mobile devices brings forth the need for better computational enhancement techniques, and image denoising in particular. At the same…
Deep Convolutional Denoising of Low-Light Images
Tal Remez, Or Litany, Raja Giryes +1
Poisson distribution is used for modeling noise in photon-limited imaging. While canonical examples include relatively exotic types of sensing like spectral imaging or astronomy, t…