| Generalization Error of Generalized Linear Models in High Dimensions | 0 | 0.34 | 2020 |
| Inference With Deep Generative Priors in High Dimensions | 1 | 0.36 | 2020 |
| Matrix inference and estimation in multi-layer models* | 0 | 0.34 | 2020 |
| High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. | 0 | 0.34 | 2019 |
| Asymptotics Of Map Inference In Deep Networks | 0 | 0.34 | 2019 |
| Inference In Deep Networks In High Dimensions | 5 | 0.44 | 2018 |
| Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. | 4 | 0.38 | 2018 |
| Bilinear Recovery using Adaptive Vector-AMP. | 1 | 0.35 | 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 |
| Vector Approximate Message Passing For The Generalized Linear Model | 0 | 0.34 | 2016 |
| Learning and Free Energy in Expectation Consistent Approximate Inference. | 0 | 0.34 | 2016 |
| Expectation consistent approximate inference: Generalizations and convergence | 7 | 0.56 | 2016 |
| Denoising based Vector Approximate Message Passing. | 0 | 0.34 | 2016 |
| Neural mass spatio-temporal modeling from high-density electrode array recordings | 1 | 0.35 | 2015 |
| Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. | 9 | 0.52 | 2015 |
| Scalable inference of neural dynamical systems. | 0 | 0.34 | 2015 |
| On the convergence of approximate message passing with arbitrary matrices. | 58 | 1.85 | 2014 |
| Fixed points of generalized approximate message passing with arbitrary matrices | 12 | 0.58 | 2013 |
| Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning. | 0 | 0.34 | 2012 |
| Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning | 36 | 1.18 | 2012 |
| Ranked Sparse Signal Support Detection | 1 | 0.36 | 2012 |
| Iterative Estimation Of Constrained Rank-One Matrices In Noise | 23 | 1.07 | 2012 |
| Hybrid Generalized Approximate Message Passing With Applications To Structured Sparsity | 3 | 0.48 | 2012 |
| Hybrid Approximate Message Passing with Applications to Structured Sparsity | 1 | 0.42 | 2011 |
| Neural Reconstruction with Approximate Message Passing (NeuRAMP). | 13 | 0.84 | 2011 |
| On-Off Random Access Channels: A Compressed Sensing Framework | 32 | 1.99 | 2009 |
| Necessary and sufficient conditions for sparsity pattern recovery | 36 | 2.84 | 2009 |
| A sparsity detection framework for on-off random access channels | 6 | 1.04 | 2009 |
| Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing. | 14 | 0.66 | 2009 |
| Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis. | 0 | 0.34 | 2009 |
| Resolution Limits of Sparse Coding in High Dimensions | 2 | 0.45 | 2008 |
| Compressive Sampling and Lossy Compression | 107 | 5.30 | 2008 |
| On the Rate-Distortion Performance of Compressed Sensing | 34 | 2.87 | 2007 |
| Robust Predictive Quantization: Analysis and Design Via Convex Optimization | 34 | 1.18 | 2007 |
| Denoising by sparse approximation: error bounds based on rate-distortion theory | 37 | 6.07 | 2006 |
| Optimized Filtering And Reconstruction In Predictive Quantization With Losses | 0 | 0.34 | 2004 |
| Estimation from lossy sensor data: jump linear modeling and Kalman filtering | 25 | 2.00 | 2004 |
| Wavelet denoising by recursive cycle spinning | 6 | 1.23 | 2002 |
