Philip Schniter

Most-cited papers

In-Band Full-Duplex Wireless: Challenges and Opportunities
A. Sabharwal, Philip Schniter, Dongning Guo, D. Bliss +2 more
2013IEEE Journal on Selected Areas in Communications2,251 citations Open access
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Vector Approximate Message Passing
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2019IEEE Transactions on Information Theory483 citations Open access
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AMP-Inspired Deep Networks for Sparse Linear Inverse Problems
Mark Borgerding, Philip Schniter, Sundeep Rangan
2016IEEE Transactions on Signal Processing445 citations Open access
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Expectation-Maximization Gaussian-Mixture Approximate Message Passing
Jeremy P. Vila, Philip Schniter
2012IEEE Transactions on Signal Processing434 citations Open access
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Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs
Jianhua Mo, Philip Schniter, R. Heath
2016IEEE Transactions on Signal Processing339 citations Open access
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Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range
B. P. Day, D. Bliss, A. Margetts, Philip Schniter
2011Asilomar Conference on Signals, Systems and Computers339 citations
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Compressive phase retrieval via generalized approximate message passing
Philip Schniter, Sundeep Rangan
2012Allerton Conference on Communication, Control, and Computing314 citations
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Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst, Philip Schniter
2018IEEE Transactions on Computational Imaging295 citations Open access
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Bilinear Generalized Approximate Message Passing—Part I: Derivation
J. Parker, Philip Schniter, V. Cevher
2013IEEE Transactions on Signal Processing288 citations Open access
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Channel estimation in millimeter wave MIMO systems with one-bit quantization
Jianhua Mo, Philip Schniter, Nuria González-Prelcic, R. Heath
2014Asilomar Conference on Signals, Systems and Computers268 citations
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On the convergence of approximate message passing with arbitrary matrices
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
20142014 IEEE International Symposium on Information Theory256 citations Open access
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Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery
R. Ahmad, C. Bouman, G. Buzzard, Stanley H. Chan +3 more
2019IEEE Signal Processing Magazine242 citations Open access
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Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range
B. P. Day, A. Margetts, D. Bliss, Philip Schniter
2011IEEE Transactions on Signal Processing237 citations Open access
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Compressive imaging using approximate message passing and a Markov-tree prior
S. Som, L. Potter, Philip Schniter
20102010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers214 citations Open access
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Channel estimation and precoder design for millimeter-wave communications: The sparse way
Philip Schniter, A. Sayeed
2014Asilomar Conference on Signals, Systems and Computers213 citations
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prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler, Philip Schniter, A. Veeraraghavan, Richard Baraniuk
2018International Conference on Machine Learning204 citations
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Full-Duplex MIMO Relaying: Achievable Rates Under Limited Dynamic Range
B. P. Day, A. Margetts, D. Bliss, Philip Schniter
2012IEEE Journal on Selected Areas in Communications183 citations Open access
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Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem
Justin Ziniel, Philip Schniter
2011IEEE Transactions on Signal Processing158 citations Open access
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Vector approximate message passing for the generalized linear model
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
2016Asilomar Conference on Signals, Systems and Computers154 citations Open access
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Expectation-maximization Bernoulli-Gaussian approximate message passing
Jeremy P. Vila, Philip Schniter
2011Asilomar Conference on Signals, Systems and Computers154 citations
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Adaptive damping and mean removal for the generalized approximate message passing algorithm
Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala +1 more
2014IEEE International Conference on Acoustics, Speech, and Signal Processing151 citations Open access
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A Survey of Stochastic Simulation and Optimization Methods in Signal Processing
M. Pereyra, Philip Schniter, É. Chouzenoux, Jean-Christophe Pesquet +3 more
2015IEEE Journal on Selected Topics in Signal Processing138 citations Open access
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Expectation-maximization Gaussian-mixture approximate message passing
Jeremy P. Vila, Philip Schniter
2013Annual Conference on Information Sciences and Systems117 citations Open access
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A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels
Philip Schniter
2011IEEE Journal on Selected Topics in Signal Processing108 citations Open access
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Fixed points of generalized approximate message passing with arbitrary matrices
Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher +1 more
20132013 IEEE International Symposium on Information Theory101 citations Open access
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Onsager-corrected deep learning for sparse linear inverse problems
Mark Borgerding, Philip Schniter
2016IEEE Global Conference on Signal and Information Processing96 citations Open access
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Bilinear Generalized Approximate Message Passing—Part II: Applications
J. Parker, Philip Schniter, V. Cevher
2014IEEE Transactions on Signal Processing81 citations Open access
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Inference for Generalized Linear Models via alternating directions and Bethe Free Energy minimization
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, U. Kamilov
2015International Symposium on Information Theory79 citations Open access
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Inference in Deep Networks in High Dimensions
Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
2017International Symposium on Information Theory73 citations
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A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments
M. Nassar, Philip Schniter, B. Evans
2013IEEE Transactions on Signal Processing72 citations Open access
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Iteratively Reweighted ℓ1 Approaches to Sparse Composite Regularization
R. Ahmad, Philip Schniter
2015IEEE Trans. Computational Imaging59 citations
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Compressive sensing under matrix uncertainties: An Approximate Message Passing approach
J. Parker, V. Cevher, Philip Schniter
2011Asilomar Conference on Signals, Systems and Computers56 citations Open access
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Hardware phenomenological effects on cochannel full-duplex MIMO relay performance
D. Bliss, T. Hancock, Philip Schniter
2012Asilomar Conference on Signals, Systems and Computers54 citations
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Hybrid generalized approximate message passing with applications to structured sparsity
Sundeep Rangan, Alyson K. Fletcher, Vivek K Goyal, Philip Schniter
2012IEEE International Symposium on Information Theory. Proceedings43 citations
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An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Jeremy P. Vila, Philip Schniter
2013IEEE Transactions on Signal Processing38 citations Open access
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Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel
Khac-Hoang Ngo, M. Guillaud, Alexis Decurninge, Sheng Yang +2 more
2019IEEE Transactions on Wireless Communications35 citations Open access
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Learning and free energies for vector approximate message passing
Alyson K. Fletcher, Philip Schniter
2016IEEE International Conference on Acoustics, Speech, and Signal Processing33 citations Open access
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Bilinear Recovery Using Adaptive Vector-AMP
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
2018IEEE Transactions on Signal Processing31 citations Open access
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Generalized approximate message passing for cosparse analysis compressive sensing
Mark Borgerding, Philip Schniter, Jeremy P. Vila, Sundeep Rangan
2013IEEE International Conference on Acoustics, Speech, and Signal Processing29 citations Open access
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Compressive Phase Retrieval via Generalized Approximate Message Passing
Philip Schniter, Sundeep Rangan
2014IEEE Transactions on Signal Processing25 citations Open access
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On the Design of Large Scale Wireless Systems
Rohit Aggarwal, C. Koksal, Philip Schniter
2012IEEE Journal on Selected Areas in Communications24 citations
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Denoising based Vector Approximate Message Passing
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
2016arXiv.org22 citations
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Sparsity Adaptive Reconstruction for Highly Accelerated Cardiac MRI
Chong Chen, Ying-Min Liu, Philip Schniter, Ning Jin +3 more
2019Magnetic Resonance in Medicine20 citations Open access
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Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP
Peng Sun, Zhong-Yong Wang, Philip Schniter
2018IEEE Transactions on Signal Processing19 citations Open access
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An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Jeremy P. Vila, Philip Schniter
2013IEEE Transactions on Signal Processing19 citations Open access
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Hybrid Approximate Message Passing with Applications to Structured Sparsity
Sundeep Rangan, Alyson K. Fletcher, Vivek K Goyal, Philip Schniter
2011arXiv.org19 citations
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Sketching Data Sets for Large-Scale Learning: Keeping only what you need
R. Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens +2 more
2021IEEE Signal Processing Magazine18 citations Open access
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prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks
Christopher A. Metzler, Philip Schniter, A. Veeraraghavan, Richard Baraniuk
2018International Conference on Machine Learning18 citations
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Joint channel-estimation/decoding with frequency-selective channels and few-bit ADCs
Peng Sun, Zhong-Yong Wang, R. Heath, Philip Schniter
2017Asilomar Conference on Signals, Systems and Computers18 citations
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Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing
Jeremy P. Vila, Philip Schniter, J. Meola
2015IEEE Transactions on Computational Imaging18 citations Open access
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