Publications (35)
An Approximate Message Passing Framework for Side Information
Anna Ma, You, Zhou +3
Recovery from Linear Measurements with Complexity-Matching Universal Signal Estimation
Junan Zhu, Dror Baron, Marco F. Duarte
Multiprocessor Approximate Message Passing with Column-Wise Partitioning
Yanting Ma, Yue M. Lu, Dror Baron
Belief propagation for joint sparse recovery
Jongmin Kim, Woohyuk Chang, Bangchul Jung +2
Bayesian Compressive Sensing via Belief Propagation
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Generalized Geometric Programming for Rate Allocation in Consensus
Ryan Pilgrim, Junan Zhu, Dror Baron +1
Wiener Filters in Gaussian Mixture Signal Estimation with Infinity-Norm Error
Jin Tan, Dror Baron, Liyi Dai
Compressed Sensing via Universal Denoising and Approximate Message Passing
Yanting Ma, Junan Zhu, Dror Baron
Empirical Bayes and Full Bayes for Signal Estimation
Yanting Ma, Jin Tan, Nikhil Krishnan +1
Performance Regions in Compressed Sensing from Noisy Measurements
Junan Zhu, Dror Baron
Mixture Gaussian Signal Estimation with L_infty Error Metric
Jin Tan, Dror Baron, Liyi Dai
Approximate Message Passing Algorithm with Universal Denoising and Gaussian Mixture Learning
Yanting Ma, Junan Zhu, Dror Baron
Information Complexity and Estimation
Dror Baron
Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem
Junan Zhu, Dror Baron
Measurement Bounds for Sparse Signal Ensembles via Graphical Models
Marco F. Duarte, Michael B. Wakin, Dror Baron +2
An Analysis of State Evolution for Approximate Message Passing with Side Information
Hangjin Liu, Cynthia Rush, Dror Baron
Analysis of Approximate Message Passing with a Class of Non-Separable Denoisers
Yanting Ma, Cynthia Rush, Dror Baron
Two-Part Reconstruction with Noisy-Sudocodes
Yanting Ma, Dror Baron, Deanna Needell
A Parallel Two-Pass MDL Context Tree Algorithm for Universal Source Coding
Nikhil Krishnan, Dror Baron, Mehmet Kıvanç Mıhçak
Compressive Imaging via Approximate Message Passing with Image Denoising
Jin Tan, Yanting Ma, Dror Baron
Signal Estimation with Additive Error Metrics in Compressed Sensing
Jin Tan, Danielle Carmon, Dror Baron
An MCMC Approach to Universal Lossy Compression of Analog Sources
Dror Baron, Tsachy Weissman
Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels
Chethan Kumar Anjinappa, You Zhou, Yavuz Yapici +2
Optimal Trade-offs in Multi-Processor Approximate Message Passing
Junan Zhu, Dror Baron, Ahmad Beirami
Compressive Hyperspectral Imaging via Approximate Message Passing
Jin Tan, Yanting Ma, Hoover Rueda +2
An Overview of Multi-Processor Approximate Message Passing
Junan Zhu, Ryan Pilgrim, Dror Baron
Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging
Jin Tan, Yanting Ma, Hoover Rueda +2
Two-Part Reconstruction in Compressed Sensing
Yanting Ma, Dror Baron, Deanna Needell
Fault Identification via Non-parametric Belief Propagation
Danny Bickson, Dror Baron, Alex T. Ihler +2
Mismatched Estimation in Large Linear Systems
Yanting Ma, Dror Baron, Ahmad Beirami
Distributed Compressive Sensing
Dror Baron, Marco F. Duarte, Michael B. Wakin +2
Signal reconstruction in linear mixing systems with different error metrics
Jin Tan, Dror Baron
Performance Limits for Noisy Multi-Measurement Vector Problems
Junan Zhu, Dror Baron, Florent Krzakala
Performance Trade-Offs in Multi-Processor Approximate Message Passing
Junan Zhu, Ahmad Beirami, Dror Baron
Multi-Processor Approximate Message Passing Using Lossy Compression
Puxiao Han, Junan Zhu, Ruixin Niu +1