compressive sensing

Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020 VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing ICML 2020 Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NeurIPS 2019 An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data ICML 2019 Decentralized sketching of low rank matrices NeurIPS 2019 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019 Fast and Provable ADMM for Learning with Generative Priors NeurIPS 2019 Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019 l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement ICCV 2019 On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem AAAI 2019 Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations ICCV 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training Image Estimators without Image Ground Truth NeurIPS 2019 Universality in Learning from Linear Measurements NeurIPS 2019 Depth and Transient Imaging With Compressive SPAD Array Cameras CVPR 2018 Dimensionality Reduced ℓ^0-Sparse Subspace Clustering AISTATS 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing CVPR 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Local Identifiability of ℓ_1-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018 Nearly Optimal Robust Subspace Tracking ICML 2018