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signal recovery

54 papers

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Co-occurring keywords

compressed sensing (201) sparse recovery (113) phase retrieval (57) convex optimization (1321) compressive sensing (126) signal reconstruction (43) generative model (2892) generative prior (55) sparse signal recovery (24) sample complexity (1169)

Papers

Diffusion Model Based Signal Recovery Under 1-Bit Quantization AAAI 2026
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing NIPS 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NIPS 2023
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NIPS 2022
Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees ICML 2022
Equivariant Priors for compressed sensing with unknown orientation ICML 2022
Multi-layer State Evolution Under Random Convolutional Design NIPS 2022
Signal Recovery with Non-Expansive Generative Network Priors NIPS 2022
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NIPS 2021
Constant-Expansion Suffices for Compressed Sensing with Generative Priors NIPS 2020
On the Power of Compressed Sensing with Generative Models ICML 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors NIPS 2020
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval NIPS 2020
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NIPS 2019
Deep Compressed Sensing ICML 2019
Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019
Universality in Learning from Linear Measurements NIPS 2019
Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement ICCV 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NIPS 2019
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
Approximate message passing for amplitude based optimization ICML 2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018