Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Multi-Scale Deep Compressive Sensing Network
A Deep Learning Approach to Block-based Compressed Sensing of Images
Semantic Perceptual Image Compression Using Deep Convolution Networks
Learned D-AMP: Principled Neural-Network-based Compressive Image Recovery
Deep Generative Adversarial Networks for Compressed Sensing ( GANCS ) Automates MRI
Compressed Sensing: Theory and Applications
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.
Compressed Sensing using Generative Models
Introduction to compressed sensing
On Compressing Deep Models by Low Rank and Sparse Decomposition
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
Compressive sampling
A Framework for Fast and Efficient Neural Network Compression
extensions of compressed sensing .
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Spectral Compressive Sensing
Scalable Online Convolutional Sparse Coding
FompNet: Compressive sensing reconstruction with deep learning over wireless fading channels
Modeling Sparse Deviations for Compressed Sensing using Generative Models
Spectral-Pruning: Compressing deep neural network via spectral analysis
Low-Complexity Iterative Algorithms for (Discrete) Compressed Sensing
A sparse signal reconstruction perspective for source localization with sensor arrays
Fournier's gangrene: report of 2 cases.
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails
Autonomous Grocery Delivery Service in Urban Areas
AN OPTICAL MODEL FOR IMAGE ARTIFACTS PRODUCED BY DUST PARTICLES ON LENSES