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ADMM CSNet A Deep Learning Approach for Image Compressive Sensing
Learning Spatial Search and Map Exploration using Adaptive Submodular Inverse Reinforcement Learning
Compressed Sensing: Overview
Spatial Search via Adaptive Submodularity and Deep Learning
X-ray backscatter with compressed sensing algorithm
Optimal Sparse Seismic Acquisition Design for Near Surface Compressive Sensing
21 Feb -- Compressed Sensing for Radio Astronomers -- L. Schwardt
Compressed Sensing and Dynamic Mode Decomposition
Inaugural Lecture by Prof. Hubert P. H. Shum - Spatial-Temporal Modelling for Visual Computing
Stanley Osher: Compressed Sensing: Recovery, Algorithms, and Analysis
Compressed Sensing and Generative Models by Eric Price
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Last Updated: August 12, 2026
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