Compressed Sensing

Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 Compressed Least-Squares Regression NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NeurIPS 2009 An Homotopy Algorithm for the Lasso with Online Observations NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008