Philip Schniter

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 83

Top Venues

CoRR

IEEE Trans. Signal Process.

ACSSC

ICASSP

Publications

Saurav K. Shastri, Philip Schniter
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation. CoRR (2024)
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction. CoRR (2024)
Matthew Bendel, Rizwan Ahmad, Philip Schniter
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems. NeurIPS (2023)
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging. CoRR (2023)
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging. ICML (2023)
Saurav K. Shastri, Rizwan Ahmad, Philip Schniter
Deep Expectation-Consistent Approximation for Phase Retrieval. ACSSC (2023)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. CoRR (2022)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Expectation Consistent Plug-and-Play for MRI. CoRR (2022)
Matthew Bendel, Rizwan Ahmad, Philip Schniter
A Regularized Conditional GAN for Posterior Sampling in Inverse Problems. CoRR (2022)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Expectation Consistent Plug-and-Play for MRI. ICASSP (2022)
Sizhuo Liu, Philip Schniter, Rizwan Ahmad
MRI Recovery with a Self-Calibrated Denoiser. ICASSP (2022)
Michael Wharton, Anne M. Pavy, Philip Schniter
Phase-Modulated Radar Waveform Classification Using Deep Networks. CoRR (2021)
Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. 38 (5) (2021)
Subrata Sarkar, Rizwan Ahmad, Philip Schniter
MRI Image Recovery using Damped Denoising Vector AMP. ICASSP (2021)
Michael Wharton, Anne M. Pavy, Philip Schniter
Deep Neural Networks for Radar Waveform Classification. ACSCC (2021)
Philip Schniter
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. ICASSP (2020)
Saurav K. Shastri, Rizwan Ahmad, Philip Schniter
Autotuning Plug-and-Play Algorithms for MRI. CoRR (2020)
Philip Schniter
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. IEEE Trans. Signal Process. 68 (2020)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Sizhuo Liu, Edward T. Reehorst, Philip Schniter
Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. IEEE Signal Process. Mag. 37 (1) (2020)
Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Philip Schniter
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. IEEE Trans. Wirel. Commun. 19 (9) (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Matrix Inference and Estimation in Multi-Layer Models. NeurIPS (2020)
Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
Sketching Datasets for Large-Scale Learning (long version). CoRR (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad
Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. ISBI (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR (2020)
Subrata Sarkar, Rizwan Ahmad, Philip Schniter
MRI Image Recovery using Damped Denoising Vector AMP. CoRR (2020)
Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. CoRR (2020)
Saurav K. Shastri, Rizwan Ahmad, Philip Schniter
Autotuning Plug-and-Play Algorithms for MRI. ACSSC (2020)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter
Plug and play methods for magnetic resonance imaging. CoRR (2019)
Michael Wharton, Edward T. Reehorst, Philip Schniter
Compressive SAR Image Recovery and Classification Via CNNS. ACSSC (2019)
Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. CoRR (2019)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher, Subrata Sarkar
On the Convergence of Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 65 (9) (2019)
Edward T. Reehorst, Philip Schniter
Regularization by Denoising: Clarifications and New Interpretations. IEEE Trans. Computational Imaging 5 (1) (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference with Deep Generative Priors in High Dimensions. CoRR (2019)
Evan Byrne, Antoine Chatalic, Rémi Gribonval, Philip Schniter
Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 67 (17) (2019)
Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter
Non-Coherent Multi-User Detection Based on Expectation Propagation. ACSSC (2019)
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Bilinear Recovery Using Adaptive Vector-AMP. IEEE Trans. Signal Process. 67 (13) (2019)
Philip Schniter, Evan Byrne
Adaptive Detection of Structured Signals in Low-Rank Interference. IEEE Trans. Signal Process. 67 (13) (2019)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector Approximate Message Passing. IEEE Trans. Inf. Theory 65 (10) (2019)
Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter
Joint Channel-Estimation/Decoding With Frequency-Selective Channels and Few-Bit ADCs. IEEE Trans. Signal Process. 67 (4) (2019)
Philip Schniter
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. CoRR (2019)
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. IEEE Trans. Signal Process. 66 (2) (2018)
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk
prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. CoRR (2018)
Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. CoRR (2018)
Peng Sun, Zhongyong Wang, Philip Schniter
Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP. IEEE Trans. Signal Process. 66 (10) (2018)
Evan Byrne, Philip Schniter
Adaptive Detection of Structured Signals in Low-Rank Interference. CoRR (2018)
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk
prDeep: Robust Phase Retrieval with a Flexible Deep Network. ICML (2018)
Edward T. Reehorst, Philip Schniter
Regularization by Denoising: Clarifications and New Interpretations. CoRR (2018)
Philip Schniter, Evan Byrne
Adaptive Detection of Structured Signals in Low-Rank Interference. ACSSC (2018)
Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter
Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs. CoRR (2018)
Jianhua Mo, Philip Schniter, Robert W. Heath Jr.
Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs. IEEE Trans. Signal Process. 66 (5) (2018)
Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Bilinear Recovery using Adaptive Vector-AMP. CoRR (2018)
Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS (2018)
Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. LVA/ICA (2018)
Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. CoRR (2018)
Alyson K. Fletcher, Sundeep Rangan, Philip Schniter
Inference in Deep Networks in High Dimensions. ISIT (2018)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector approximate message passing. ISIT (2017)
Maher Al-Shoukairi, Philip Schniter, Bhaskar D. Rao
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm. CoRR (2017)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. NIPS (2017)
Alyson K. Fletcher, Philip Schniter
Learning and free energies for vector approximate message passing. ICASSP (2017)
Evan Byrne, Rémi Gribonval, Philip Schniter
Sketched Clustering via Hybrid Approximate Message Passing. CoRR (2017)
Sundeep Rangan, Alyson K. Fletcher, Vivek K. Goyal, Evan Byrne, Philip Schniter
Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 65 (17) (2017)
Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter
Joint channel-estimation/decoding with frequency-selective channels and few-bit ADCs. ACSSC (2017)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. IEEE Trans. Inf. Theory 63 (1) (2017)
Evan Byrne, Rémi Gribonval, Philip Schniter
Sketched clustering via hybrid approximate message passing. ACSSC (2017)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Philip Schniter, Sundeep Rangan
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. CoRR (2017)
Mark Borgerding, Philip Schniter, Sundeep Rangan
AMP-Inspired Deep Networks for Sparse Linear Inverse Problems. IEEE Trans. Signal Process. 65 (16) (2017)
Evan Byrne, Philip Schniter
Sparse Multinomial Logistic Regression via Approximate Message Passing. IEEE Trans. Signal Process. 64 (21) (2016)
Mark Borgerding, Philip Schniter
Onsager-corrected deep learning for sparse linear inverse problems. GlobalSIP (2016)
Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory 62 (12) (2016)
Jianhua Mo, Philip Schniter, Robert W. Heath Jr.
Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs. CoRR (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Vector approximate message passing for the generalized linear model. ACSSC (2016)
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Vector Approximate Message Passing. CoRR (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Denoising based Vector Approximate Message Passing. CoRR (2016)
Christophe Schülke, Philip Schniter, Lenka Zdeborová
Phase diagram of matrix compressed sensing. CoRR (2016)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation consistent approximate inference: Generalizations and convergence. ISIT (2016)
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter
Expectation Consistent Approximate Inference: Generalizations and Convergence. CoRR (2016)
Mark Borgerding, Philip Schniter
Onsager-corrected deep learning for sparse linear inverse problems. CoRR (2016)
Jason T. Parker, Philip Schniter
Parametric Bilinear Generalized Approximate Message Passing. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Philip Schniter, Sundeep Rangan, Alyson K. Fletcher
Vector Approximate Message Passing for the Generalized Linear Model. CoRR (2016)
Marcelo Pereyra, Philip Schniter, Émilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Mark Borgerding, Philip Schniter
Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems. CoRR (2016)
Philip Schniter, Sundeep Rangan
Compressive Phase Retrieval via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 63 (4) (2015)
Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová
Adaptive damping and mean removal for the generalized approximate message passing algorithm. ICASSP (2015)
Rizwan Ahmad, Philip Schniter
Approaches to Sparse Composite Regularization. IEEE Trans. Computational Imaging 1 (4) (2015)
Mark Borgerding, Philip Schniter, Jeremy P. Vila, Sundeep Rangan
Generalized approximate message passing for cosparse analysis compressive sensing. ICASSP (2015)
Jason T. Parker, Yan Shou, Philip Schniter
Parametric Bilinear Generalized Approximate Message Passing. CoRR (2015)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek S. Kamilov
Inference for Generalized Linear Models via alternating directions and Bethe Free Energy minimization. ISIT (2015)
Evan Byrne, Philip Schniter
Sparse Multinomial Logistic Regression via Approximate Message Passing. CoRR (2015)
Jeremy P. Vila, Philip Schniter, Joseph Meola
Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing. IEEE Trans. Computational Imaging 1 (3) (2015)
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter, Ulugbek Kamilov
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. CoRR (2015)
Jeremy P. Vila, Philip Schniter, Joseph Meola
Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing. CoRR (2015)
Marcelo Pereyra, Philip Schniter, Émilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin
Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. CoRR (2015)
Rizwan Ahmad, Philip Schniter
Approaches to Sparse Composite Regularization. CoRR (2015)
Justin Ziniel, Philip Schniter, Per Sederberg
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 63 (8) (2015)
Jeremy P. Vila, Philip Schniter, Sundeep Rangan, Florent Krzakala, Lenka Zdeborová
Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm. CoRR (2014)
Jianhua Mo, Philip Schniter, Nuria González Prelcic, Robert W. Heath Jr.
Channel estimation in millimeter wave MIMO systems with one-bit quantization. ACSSC (2014)
Ashutosh Sabharwal, Philip Schniter, Dongning Guo, Daniel W. Bliss, Sampath Rangarajan, Risto Wichman
Guest Editorial: In-Band Full-Duplex Wireless Communications and Networks. IEEE J. Sel. Areas Commun. 32 (9) (2014)
Jeremy P. Vila, Philip Schniter
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals. IEEE Trans. Signal Process. 62 (18) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Philip Schniter