Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: RIPless compressed sensing from anisotropic measurements
Compressed sensing
Random Filters for Compressive Sampling and Reconstruction
Iteratively re-weighted least squares minimization for sparse recovery
Applications of Compressed Sensing in Communications Networks
Deep artifact learning for compressed sensing and parallel MRI
Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
A Review of Sparse Recovery Algorithms
COMPRESSED SENSING IMAGE RECONSTRUCTION VIA RECURSIVE SPATIALLY ADAPTIVE FILTERING
Deep residual learning for compressed sensing MRI
Compressed Sensing for Wireless Communications : A Few Tips and Tricks
Compressed Sensing with Coherent and Redundant Dictionaries
Low rank matrix recovery from rank one measurements
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
Block compressed sensing of images using directional transforms
Signal Processing With Compressive Measurements
Bayesian Compressive Sensing Using Laplace Priors
Embedding cryptographically secure matrix transformation in structured Compressive Sensing
imaging via compressive sampling .
Sparse Reconstruction by Separable Approximation
Practical Signal Recovery from Random Projections
Open Transverse ElectroMagnetic (TEM) cell as applicator of high-intensity nsPEFs and electro-optic measurements
Using Images to Improve Machine-Translating E-Commerce Product Listings.
The Anatomy of the Aging Face: A Review.
A generalized uncertainty principle and sparse representation in pairs of bases
Low-Rank Bilinear Pooling for Fine-Grained Classification