Compressed Sensing

A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 Beyond Single Solution: Multi-Hypothesis Deep Unfolding Network for Image Compressive Sensing CVPR 2026 cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold CVPR 2026 How Many Features Can a Language Model Store Under the Linear Representation Hypothesis? COLT 2026 Multi-Scale Gradient-Guided Unrolling Architecture with Adaptive Mamba for Compressive Sensing CVPR 2026 Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack CVPR 2026 Beyond Worst-Case Dimensionality Reduction for Sparse Vectors ICLR 2025 CONGO: Compressive Online Gradient Optimization ICLR 2025 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing CVPR 2024 Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NeurIPS 2023 Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023 Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs NeurIPS 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Near optimal efficient decoding from pooled data COLT 2022 Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022 Signal Recovery with Non-Expansive Generative Network Priors NeurIPS 2022 Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares NeurIPS 2021 It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels COLT 2021 On learning sparse vectors from mixture of responses NeurIPS 2021 Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors NeurIPS 2021 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020