| MRI Recovery with a Self-Calibrated Denoiser | 0 | 0.34 | 2022 |
| Expectation Consistent Plug-and-Play for MRI. | 0 | 0.34 | 2022 |
| MRI IMAGE RECOVERY USING DAMPED DENOISING VECTOR AMP | 0 | 0.34 | 2021 |
| Sketching Data Sets for Large-Scale Learning: Keeping only what you need | 1 | 0.36 | 2021 |
| Inference With Deep Generative Priors in High Dimensions | 1 | 0.36 | 2020 |
| Autotuning Plug-and-Play Algorithms for MRI | 0 | 0.34 | 2020 |
| Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery | 3 | 0.38 | 2020 |
| Matrix inference and estimation in multi-layer models* | 0 | 0.34 | 2020 |
| Regularization by Denoising: Clarifications and New Interpretations. | 5 | 0.40 | 2019 |
| Compressive Sar Image Recovery And Classification Via Cnns | 0 | 0.34 | 2019 |
| Sketched Clustering via Hybrid Approximate Message Passing | 0 | 0.34 | 2019 |
| Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel | 1 | 0.35 | 2019 |
| Plug and play methods for magnetic resonance imaging. | 0 | 0.34 | 2019 |
| Non-Coherent Multi-User Detection Based On Expectation Propagation | 0 | 0.34 | 2019 |
| Adaptive Detection of Structured Signals in Low-Rank Interference. | 0 | 0.34 | 2018 |
| Joint channel-estimation/decoding with frequency-selective channels and few-bit ADCs. | 3 | 0.68 | 2018 |
| prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. | 1 | 0.36 | 2018 |
| Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP. | 0 | 0.34 | 2018 |
| prDeep: Robust Phase Retrieval with a Flexible Deep Network. | 3 | 0.40 | 2018 |
| Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. | 4 | 0.38 | 2018 |
| A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. | 6 | 0.45 | 2018 |
| Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs. | 41 | 1.02 | 2018 |
| Bilinear Recovery using Adaptive Vector-AMP. | 1 | 0.35 | 2018 |
| An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. | 0 | 0.34 | 2018 |
| Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. | 2 | 0.40 | 2017 |
| Vector Approximate Message Passing. | 40 | 1.26 | 2017 |
| Hybrid Approximate Message Passing. | 2 | 0.39 | 2017 |
| AMP-Inspired Deep Networks for Sparse Linear Inverse Problems. | 35 | 0.97 | 2017 |
| A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm. | 11 | 0.55 | 2017 |
| Onsager-corrected deep learning for sparse linear inverse problems | 8 | 0.68 | 2016 |
| Vector Approximate Message Passing For The Generalized Linear Model | 0 | 0.34 | 2016 |
| Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems. | 0 | 0.34 | 2016 |
| A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. | 23 | 0.84 | 2016 |
| Expectation consistent approximate inference: Generalizations and convergence | 7 | 0.56 | 2016 |
| Phase diagram of matrix compressed sensing. | 3 | 0.40 | 2016 |
| Denoising based Vector Approximate Message Passing. | 0 | 0.34 | 2016 |
| Sparse Multinomial Logistic Regression via Approximate Message Passing | 2 | 0.37 | 2015 |
| Binary linear classification and feature selection via generalized approximate message passing | 3 | 0.52 | 2015 |
| Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. | 9 | 0.52 | 2015 |
| Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing. | 3 | 0.38 | 2015 |
| Iteratively Reweighted $\ell_1$ Approaches to Sparse Composite Regularization. | 3 | 0.38 | 2015 |
| Parametric Bilinear Generalized Approximate Message Passing | 3 | 0.40 | 2015 |
| Generalized Approximate Message Passing For Cosparse Analysis Compressive Sensing | 6 | 0.54 | 2015 |
| Iteratively Reweighted ℓ1 Approaches to Sparse Composite Regularization. | 0 | 0.34 | 2015 |
| Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing | 1 | 0.35 | 2015 |
| Channel estimation and precoder design for millimeter-wave communications: The sparse way | 41 | 1.52 | 2014 |
| Bilinear Generalized Approximate Message Passing—Part I: Derivation | 12 | 0.50 | 2014 |
| Channel estimation in millimeter wave MIMO systems with one-bit quantization | 83 | 2.50 | 2014 |
| A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments | 27 | 1.01 | 2014 |
| On the convergence of approximate message passing with arbitrary matrices. | 58 | 1.85 | 2014 |
