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conftrace_

signal recovery

56 papers

Papers

Diffusion Model Based Signal Recovery Under 1-Bit Quantization AAAI 2026 Optimal Reconstruction from Linear Queries COLT 2026 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024 A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing NeurIPS 2023 PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NeurIPS 2023 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Signal Recovery with Non-Expansive Generative Network Priors NeurIPS 2022 Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NeurIPS 2021 A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval NeurIPS 2020 Constant-Expansion Suffices for Compressed Sensing with Generative Priors NeurIPS 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 The Generalized Lasso with Nonlinear Observations and Generative Priors NeurIPS 2020 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ICLR 2019 A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NeurIPS 2019 Deep Compressed Sensing ICML 2019 Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019 Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement ICCV 2019 Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 Universality in Learning from Linear Measurements NeurIPS 2019 Approximate message passing for amplitude based optimization ICML 2018