compressed sensing

GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems ICCV 2019 Implicit Regularization for Optimal Sparse Recovery NeurIPS 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019 Multi-class Heterogeneous Domain Adaptation JMLR 2019 On the statistical rate of nonlinear recovery in generative models with heavy-tailed data ICML 2019 Sample Complexity of Learning Mixture of Sparse Linear Regressions NeurIPS 2019 Scalable Convolutional Neural Network for Image Compressed Sensing CVPR 2019 SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019 Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019 A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs ICLR 2018 A convex program for bilinear inversion of sparse vectors NeurIPS 2018 A Tight Bound of Hard Thresholding JMLR 2018 Blind Deconvolutional Phase Retrieval via Convex Programming NeurIPS 2018 Expanding Holographic Embeddings for Knowledge Completion NeurIPS 2018 Gradient Hard Thresholding Pursuit JMLR 2018 Hyperparameter optimization: a spectral approach ICLR 2018 IHT dies hard: Provable accelerated Iterative Hard Thresholding AISTATS 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Modeling Sparse Deviations for Compressed Sensing using Generative Models ICML 2018 MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval NeurIPS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018