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compressive sensing

126 papers

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Also known as

HCS CS

Co-occurring keywords

image reconstruction (663) sparse recovery (113) compressed sensing (198) convex optimization (1320) convolutional neural network (4216) neural network (6616) dictionary learning (277) signal reconstruction (43) phase retrieval (57) hyperspectral imaging (82)

Papers

l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement ICCV 2019
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem AAAI 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
Training Image Estimators without Image Ground Truth NIPS 2019
Don't take it lightly: Phasing optical random projections with unknown operators NIPS 2019
Universality in Learning from Linear Measurements NIPS 2019
Decentralized sketching of low rank matrices NIPS 2019
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NIPS 2019
Depth and Transient Imaging With Compressive SPAD Array Cameras CVPR 2018
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing CVPR 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering AISTATS 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
Nearly Optimal Robust Subspace Tracking ICML 2018
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NIPS 2018
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery NIPS 2017
Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017