The dithered signed-error constant modulus algorithm. - Philip Schniter; C. Richard Johnson Jr. (ICASSP, 1998)

Blind equalization using the constant modulus criterion: a review. - C. Richard Johnson Jr.; Philip Schniter; Thomas J. Endres; James D. Behm; Donald Richard Brown; Raúl A. Casas (Proc. IEEE, 1998)

SINR-based sufficient conditions for CMA desired-user-lock. - Philip Schniter; C. Richard Johnson Jr. (WCNC, 1999)

Dithered signed-error CMA: robust, computationally efficient blind adaptive equalization. - Philip Schniter; C. Richard Johnson Jr. (IEEE Trans. Signal Process., 1999)

Bounds for the MSE performance of constant modulus estimators. - Philip Schniter; C. Richard Johnson Jr. (IEEE Trans. Inf. Theory, 2000)

Sufficient conditions for the local convergence of constant modulus algorithms. - Philip Schniter; C. Richard Johnson Jr. (IEEE Trans. Signal Process., 2000)

Performance analysis of Godard-based blind channel identification. - Philip Schniter; Raúl A. Casas; Azzédine Touzni; C. Richard Johnson Jr. (IEEE Trans. Signal Process., 2001)

Existence and performance of Shalvi-Weinstein estimators. - Philip Schniter; Lang Tong 001 (IEEE Trans. Signal Process., 2001)

Connexions: DSP education for a networked world. - Richard G. Baraniuk; C. Sidney Burrus; B. M. Hendricks; G. L. Henry; Alfred O. Hero III; Don H. Johnson; Douglas L. Jones; Julius Kusuma; Robert D. Nowak; J. E. Odegard; Lee C. Potter; Kannan Ramchandran; et al. (ICASSP, 2002)

On the equivalence of three reduced rank linear estimators with applications to DS-CDMA. - Wanshi Chen; Urbashi Mitra; Philip Schniter (IEEE Trans. Inf. Theory, 2002)

Low-complexity receiver for OFDM in doubly-selective channels. - Philip Schniter (GLOBECOM, 2003)

On the design of non-(bi)orthogonal pulse-shaped FDM for doubly-dispersive channels. - Philip Schniter (ICASSP (3), 2004)

Achievable diversity-vs-multiplexing tradeoffs in half-duplex cooperative channels. - Kambiz Azarian; Hesham El Gamal; Philip Schniter (ITW, 2004)

Subspace leaky LMS. - Brian D. Rigling; Philip Schniter (IEEE Signal Process. Lett., 2004)

Low-complexity equalization of OFDM in doubly selective channels. - Philip Schniter (IEEE Trans. Signal Process., 2004)

On the robustness of decision-feedback detection of DPSK and differential unitary space-time modulation in Rayleigh-fading channels. - Bijoy Bhukania; Philip Schniter (IEEE Trans. Wirel. Commun., 2004)

MSE-optimal training for linear time-varying channels. - Arun Pachai Kannu; Philip Schniter (ICASSP (3), 2005)

Scale-lag diversity reception in mobile wideband channels. - Adam R. Margetts; Philip Schniter; Ananthram Swami (ICASSP (3), 2005)

On the Achievable Diversity-Multiplexing Tradeoffs in Half-Duplex Cooperative Channels - Kambiz Azarian; Hesham El Gamal; Philip Schniter (CoRR, 2005)

On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels. - Kambiz Azarian; Hesham El Gamal; Philip Schniter (IEEE Trans. Inf. Theory, 2005)

Adaptive chip-rate equalization of downlink multirate wideband CDMA. - Adam R. Margetts; Philip Schniter (IEEE Trans. Signal Process., 2005)

Minimum Mean-Squared Error Pilot-Aided Transmission for MIMO Doubly Selective Channels. - Arun Pachai Kannu; Philip Schniter (CISS, 2006)

On Doubly Dispersive Channel Estimation for Pilot-Aided Pulse-Shaped Multi-Carrier Modulation. - Philip Schniter (CISS, 2006)

Efficient Sequence Detection of Multicarrier Transmissions over Doubly Dispersive Channels. - Sung-Jun Hwang; Philip Schniter (EURASIP J. Adv. Signal Process., 2006)

Efficient communication over highly spread underwater acoustic channels. - Sung-Jun Hwang; Philip Schniter (Underwater Networks, 2007)

Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel. - Sugumar Murugesan; Elif Uysal-Biyikoglu; Philip Schniter (IEEE J. Sel. Areas Commun., 2007)

Max-SINR ISI/ICI-Shaping Multicarrier Communication Over the Doubly Dispersive Channel. - Sibasish Das; Philip Schniter (IEEE Trans. Signal Process., 2007)

Joint scale-lag diversity in wideband mobile direct sequence spread spectrum systems. - Adam R. Margetts; Philip Schniter; Ananthram Swami (IEEE Trans. Wirel. Commun., 2007)

A fast posterior update for sparse underdetermined linear models. - Lee C. Potter; Philip Schniter; Justin Ziniel (ACSCC, 2008)

Multiuser scheduling in a Markov-modeled downlink environment. - Sugumar Murugesan; Philip Schniter; Ness B. Shroff (Allerton, 2008)

Efficient Multicarrier Communication for Highly Spread Underwater Acoustic Channels. - Sung-Jun Hwang; Philip Schniter (IEEE J. Sel. Areas Commun., 2008)

On the Optimality of the ARQ-DDF Protocol. - Kambiz Azarian; Hesham El Gamal; Philip Schniter (IEEE Trans. Inf. Theory, 2008)

Design and Analysis of MMSE Pilot-Aided Cyclic-Prefixed Block Transmissions for Doubly Selective Channels. - Arun Pachai Kannu; Philip Schniter (IEEE Trans. Signal Process., 2008)

Iterative frequency-domain channel estimation and equalization for single-carrier transmissions without cyclic-prefix. - Hong Liu; Philip Schniter (IEEE Trans. Wirel. Commun., 2008)

Joint Opportunistic Scheduling in Multi-Cellular Systems - Sugumar Murugesan; Philip Schniter (CoRR, 2009)

Opportunistic Multiuser Scheduling in a Three State Markov-modeled Downlink - Sugumar Murugesan; Philip Schniter (CoRR, 2009)

Non-Bayesian Rate-Adaptive Wireless Communication Using ARQ-Feedback - Can Emre Koksal; Philip Schniter (CoRR, 2009)

Rate Adaptation via Link-Layer Feedback for Goodput Maximization over a Time-Varying Channel. - Rohit Aggarwal; Philip Schniter; Can Emre Koksal (IEEE Trans. Wirel. Commun., 2009)

Throughput/energy aware opportunistic transmission control in broadcast networks. - Sugumar Murugesan; Philip Schniter; Ness B. Shroff (Allerton, 2010)

Turbo reconstruction of structured sparse signals. - Philip Schniter (CISS, 2010)

Optimal Joint Scheduling and Resource Allocation in OFDMA Downlink Systems with Imperfect Channel-State Information - Rohit Aggarwal; Mohamad Assaad; Can Emre Koksal; Philip Schniter (CoRR, 2010)

On the spectral efficiency of noncoherent doubly selective block-fading channels. - Arun Pachai Kannu; Philip Schniter (IEEE Trans. Inf. Theory, 2010)

Compressive sensing under matrix uncertainties: An Approximate Message Passing approach. - Jason T. Parker; Volkan Cevher; Philip Schniter (ACSCC, 2011)

Session TP3a: Multi-dimensional compressive inference. - Phil Schniter (ACSCC, 2011)

Session TP8b1: Machine-learning-based statistical signal processing. - Phil Schniter (ACSCC, 2011)

Expectation-maximization Bernoulli-Gaussian approximate message passing. - Jeremy P. Vila; Philip Schniter (ACSCC, 2011)

Efficient message passing-based inference in the multiple measurement vector problem. - Justin Ziniel; Philip Schniter (ACSCC, 2011)

Exploiting structured sparsity in Bayesian experimental design. - Philip Schniter (CAMSAP, 2011)

Scaling Laws and Design Principles for Multi-Cellular Wireless OFDMA Systems - Rohit Aggarwal; Can Emre Koksal; Philip Schniter (CoRR, 2011)

Hybrid Approximate Message Passing with Applications to Structured Sparsity - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Philip Schniter (CoRR, 2011)

A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels. - Philip Schniter (IEEE J. Sel. Top. Signal Process., 2011)

On Communication Over Unknown Sparse Frequency-Selective Block-Fading Channels. - Arun Pachai Kannu; Philip Schniter (IEEE Trans. Inf. Theory, 2011)

Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information. - Rohit Aggarwal; Mohamad Assaad; Can Emre Koksal; Philip Schniter (IEEE Trans. Signal Process., 2011)

Hardware phenomenological effects on cochannel full-duplex MIMO relay performance. - Daniel W. Bliss; Timothy M. Hancock; Philip Schniter (ACSCC, 2012)

Performance bounds and associated design principles for multi-cellular wireless OFDMA systems. - Rohit Aggarwal; Can Emre Koksal; Philip Schniter (INFOCOM, 2012)

Hybrid generalized approximate message passing with applications to structured sparsity. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Philip Schniter (ISIT, 2012)

A generalized framework for learning and recovery of structured sparse signals. - Justin Ziniel; Sundeep Rangan; Philip Schniter (SSP, 2012)

Full-Duplex MIMO Relaying: Achievable Rates Under Limited Dynamic Range. - Brian P. Day; Adam R. Margetts; Daniel W. Bliss; Philip Schniter (IEEE J. Sel. Areas Commun., 2012)

Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels. - Philip Schniter (Phys. Commun., 2012)

Multiuser Scheduling in a Markov-Modeled Downlink Using Randomly Delayed ARQ Feedback. - Sugumar Murugesan; Philip Schniter; Ness B. Shroff (IEEE Trans. Inf. Theory, 2012)

Joint Scheduling and Resource Allocation in OFDMA Downlink Systems Via ACK/NAK Feedback. - Rohit Aggarwal; Can Emre Koksal; Philip Schniter (IEEE Trans. Signal Process., 2012)

Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range. - Brian P. Day; Adam R. Margetts; Daniel W. Bliss; Philip Schniter (IEEE Trans. Signal Process., 2012)

Robust Rate-Adaptive Wireless Communication Using ACK/NAK-Feedback. - Can Emre Koksal; Philip Schniter (IEEE Trans. Signal Process., 2012)

Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior. - Subhojit Som; Philip Schniter (IEEE Trans. Signal Process., 2012)

A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels. - Marcel Nassar; Phil Schniter; Brian L. Evans (ACSSC, 2013)

Generalized Approximate Message Passing for the Cosparse Analysis Model. - Mark Borgerding; Philip Schniter (CoRR, 2013)

Bilinear Generalized Approximate Message Passing. - Jason T. Parker; Philip Schniter; Volkan Cevher (CoRR, 2013)

On the Design of Large Scale Wireless Systems. - Rohit Aggarwal; Can Emre Koksal; Philip Schniter (IEEE J. Sel. Areas Commun., 2013)

Expectation-Maximization Gaussian-Mixture Approximate Message Passing. - Jeremy P. Vila; Philip Schniter (IEEE Trans. Signal Process., 2013)

Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem. - Justin Ziniel; Philip Schniter (IEEE Trans. Signal Process., 2013)

Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing. - Justin Ziniel; Philip Schniter (IEEE Trans. Signal Process., 2013)

Channel estimation in millimeter wave MIMO systems with one-bit quantization. - Jianhua Mo 001; Philip Schniter; Nuria González-Prelcic; Robert W. Heath Jr. (ACSSC, 2014)

Channel estimation and precoder design for millimeter-wave communications: The sparse way. - Philip Schniter; Akbar M. Sayeed (ACSSC, 2014)

On the convergence of approximate message passing with arbitrary matrices. - Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (ISIT, 2014)

Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. - Justin Ziniel; Philip Schniter (CoRR, 2014)

Guest Editorial: In-Band Full-Duplex Wireless Communications and Networks. - Ashutosh Sabharwal; Philip Schniter; Dongning Guo; Daniel W. Bliss; Sampath Rangarajan; Risto Wichman (IEEE J. Sel. Areas Commun., 2014)

In-Band Full-Duplex Wireless: Challenges and Opportunities. - Ashutosh Sabharwal; Philip Schniter; Dongning Guo; Daniel W. Bliss; Sampath Rangarajan; Risto Wichman (IEEE J. Sel. Areas Commun., 2014)

A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. - Marcel Nassar; Philip Schniter; Brian L. Evans (IEEE Trans. Signal Process., 2014)

Bilinear Generalized Approximate Message Passing - Part I: Derivation. - Jason T. Parker; Philip Schniter; Volkan Cevher (IEEE Trans. Signal Process., 2014)

Bilinear Generalized Approximate Message Passing - Part II: Applications. - Jason T. Parker; Philip Schniter; Volkan Cevher (IEEE Trans. Signal Process., 2014)

An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals. - Jeremy P. Vila; Philip Schniter (IEEE Trans. Signal Process., 2014)

Generalized approximate message passing for cosparse analysis compressive sensing. - Mark Borgerding; Philip Schniter; Jeremy P. Vila; Sundeep Rangan (ICASSP, 2015)

Adaptive damping and mean removal for the generalized approximate message passing algorithm. - Jeremy P. Vila; Philip Schniter; Sundeep Rangan; Florent Krzakala; Lenka Zdeborová (ICASSP, 2015)

Parametric Bilinear Generalized Approximate Message Passing. - Jason T. Parker; Yan Shou; Philip Schniter (CoRR, 2015)

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (CoRR, 2015)

Iteratively Reweighted ℓ1 Approaches to Sparse Composite Regularization. - Rizwan Ahmad; Philip Schniter (IEEE Trans. Computational Imaging, 2015)

Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing. - Jeremy P. Vila; Philip Schniter; Joseph Meola (IEEE Trans. Computational Imaging, 2015)

Compressive Phase Retrieval via Generalized Approximate Message Passing. - Philip Schniter; Sundeep Rangan (IEEE Trans. Signal Process., 2015)

Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. - Justin Ziniel; Philip Schniter; Per Sederberg (IEEE Trans. Signal Process., 2015)

Vector approximate message passing for the generalized linear model. - Philip Schniter; Sundeep Rangan; Alyson K. Fletcher (ACSSC, 2016)

Onsager-corrected deep learning for sparse linear inverse problems. - Mark Borgerding; Philip Schniter (GlobalSIP, 2016)

Expectation consistent approximate inference: Generalizations and convergence. - Alyson K. Fletcher; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter (ISIT, 2016)

Onsager-Corrected Deep Networks for Sparse Linear Inverse Problems. - Mark Borgerding; Philip Schniter (CoRR, 2016)

Denoising based Vector Approximate Message Passing. - Philip Schniter; Sundeep Rangan; Alyson K. Fletcher (CoRR, 2016)

Phase diagram of matrix compressed sensing. - Christophe Schülke; Philip Schniter; Lenka Zdeborová (CoRR, 2016)

Parametric Bilinear Generalized Approximate Message Passing. - Jason T. Parker; Philip Schniter (IEEE J. Sel. Top. Signal Process., 2016)

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (IEEE J. Sel. Top. Signal Process., 2016)

Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. - Sundeep Rangan; Philip Schniter; Erwin Riegler; Alyson K. Fletcher; Volkan Cevher (IEEE Trans. Inf. Theory, 2016)

Sparse Multinomial Logistic Regression via Approximate Message Passing. - Evan Byrne; Philip Schniter (IEEE Trans. Signal Process., 2016)

Sketched clustering via hybrid approximate message passing. - Evan Byrne; Rémi Gribonval; Philip Schniter (ACSSC, 2017)

Learning and free energies for vector approximate message passing. - Alyson K. Fletcher; Philip Schniter (ICASSP, 2017)

Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems. - Alyson K. Fletcher; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter (NIPS, 2017)

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. - Sundeep Rangan; Alyson K. Fletcher; Philip Schniter; Ulugbek S. Kamilov (IEEE Trans. Inf. Theory, 2017)

AMP-Inspired Deep Networks for Sparse Linear Inverse Problems. - Mark Borgerding; Philip Schniter; Sundeep Rangan (IEEE Trans. Signal Process., 2017)

Hybrid Approximate Message Passing. - Sundeep Rangan; Alyson K. Fletcher; Vivek K. Goyal; Evan Byrne; Philip Schniter (IEEE Trans. Signal Process., 2017)

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. - Christopher A. Metzler; Philip Schniter; Richard G. Baraniuk (LVA/ICA, 2018)

prDeep: Robust Phase Retrieval with a Flexible Deep Network. - Christopher A. Metzler; Philip Schniter; Ashok Veeraraghavan; Richard G. Baraniuk (ICML, 2018)

Inference in Deep Networks in High Dimensions. - Alyson K. Fletcher; Sundeep Rangan; Philip Schniter (ISIT, 2018)

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. - Alyson K. Fletcher; Parthe Pandit; Sundeep Rangan; Subrata Sarkar; Philip Schniter (NeurIPS, 2018)

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. - Christopher A. Metzler; Philip Schniter; Ashok Veeraraghavan; Richard G. Baraniuk (CoRR, 2018)

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. - Alyson K. Fletcher; Sundeep Rangan; Subrata Sarkar; Philip Schniter (CoRR, 2018)

A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm. - Maher Al-Shoukairi; Philip Schniter; Bhaskar D. Rao (IEEE Trans. Signal Process., 2018)

Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs. - Jianhua Mo 001; Philip Schniter; Robert W. Heath Jr. (IEEE Trans. Signal Process., 2018)

Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP. - Peng Sun 002; Zhongyong Wang; Philip Schniter (IEEE Trans. Signal Process., 2018)

Non-Coherent Multi-User Detection Based on Expectation Propagation. - Khac-Hoang Ngo; Maxime Guillaud; Alexis Decurninge; Sheng Yang 001; Subrata Sarkar; Philip Schniter (ACSSC, 2019)

Compressive SAR Image Recovery and Classification Via CNNS. - Michael Wharton; Edward T. Reehorst; Philip Schniter (ACSSC, 2019)

Plug and play methods for magnetic resonance imaging. - Rizwan Ahmad; Charles A. Bouman; Gregery T. Buzzard; Stanley H. Chan; Edward T. Reehorst; Philip Schniter (CoRR, 2019)

Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. - Khac-Hoang Ngo; Maxime Guillaud; Alexis Decurninge; Sheng Yang 001; Subrata Sarkar; Philip Schniter (CoRR, 2019)

Regularization by Denoising: Clarifications and New Interpretations. - Edward T. Reehorst; Philip Schniter (IEEE Trans. Computational Imaging, 2019)

Vector Approximate Message Passing. - Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (IEEE Trans. Inf. Theory, 2019)

On the Convergence of Approximate Message Passing With Arbitrary Matrices. - Sundeep Rangan; Philip Schniter; Alyson K. Fletcher; Subrata Sarkar (IEEE Trans. Inf. Theory, 2019)

Sketched Clustering via Hybrid Approximate Message Passing. - Evan Byrne; Antoine Chatalic; Rémi Gribonval; Philip Schniter (IEEE Trans. Signal Process., 2019)

Bilinear Recovery Using Adaptive Vector-AMP. - Subrata Sarkar; Alyson K. Fletcher; Sundeep Rangan; Philip Schniter (IEEE Trans. Signal Process., 2019)

Adaptive Detection of Structured Signals in Low-Rank Interference. - Philip Schniter; Evan Byrne (IEEE Trans. Signal Process., 2019)

Joint Channel-Estimation/Decoding With Frequency-Selective Channels and Few-Bit ADCs. - Peng Sun 002; Zhongyong Wang; Robert W. Heath Jr.; Philip Schniter (IEEE Trans. Signal Process., 2019)

Autotuning Plug-and-Play Algorithms for MRI. - Saurav K. Shastri; Rizwan Ahmad; Philip Schniter (ACSSC, 2020)

Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. - Sizhuo Liu; Edward T. Reehorst; Philip Schniter; Rizwan Ahmad (ISBI, 2020)

Matrix Inference and Estimation in Multi-Layer Models. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (NeurIPS, 2020)

Inference in Multi-Layer Networks with Matrix-Valued Unknowns. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (CoRR, 2020)

Sketching Datasets for Large-Scale Learning (long version). - Rémi Gribonval; Antoine Chatalic; Nicolas Keriven; Vincent Schellekens; Laurent Jacques; Philip Schniter (CoRR, 2020)

Inference With Deep Generative Priors in High Dimensions. - Parthe Pandit; Mojtaba Sahraee-Ardakan; Sundeep Rangan; Philip Schniter; Alyson K. Fletcher (IEEE J. Sel. Areas Inf. Theory, 2020)

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. - Rizwan Ahmad; Charles A. Bouman; Gregery T. Buzzard; Stanley H. Chan; Sizhuo Liu; Edward T. Reehorst; Philip Schniter (IEEE Signal Process. Mag., 2020)

A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. - Philip Schniter (IEEE Trans. Signal Process., 2020)

Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. - Khac-Hoang Ngo; Maxime Guillaud; Alexis Decurninge; Sheng Yang 001; Philip Schniter (IEEE Trans. Wirel. Commun., 2020)

Deep Neural Networks for Radar Waveform Classification. - Michael Wharton; Anne M. Pavy; Philip Schniter (ACSCC, 2021)

MRI Image Recovery using Damped Denoising Vector AMP. - Subrata Sarkar; Rizwan Ahmad; Philip Schniter (ICASSP, 2021)

Phase-Modulated Radar Waveform Classification Using Deep Networks. - Michael Wharton; Anne M. Pavy; Philip Schniter (CoRR, 2021)

Sketching Data Sets for Large-Scale Learning: Keeping only what you need. - Rémi Gribonval; Antoine Chatalic; Nicolas Keriven; Vincent Schellekens; Laurent Jacques; Philip Schniter (IEEE Signal Process. Mag., 2021)

MRI Recovery with a Self-Calibrated Denoiser. - Sizhuo Liu; Philip Schniter; Rizwan Ahmad (ICASSP, 2022)

Expectation Consistent Plug-and-Play for MRI. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (ICASSP, 2022)

Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (CoRR, 2022)

A Regularized Conditional GAN for Posterior Sampling in Inverse Problems. - Matthew Bendel; Rizwan Ahmad; Philip Schniter (CoRR, 2022)

Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (IEEE J. Sel. Areas Inf. Theory, 2022)

Deep Expectation-Consistent Approximation for Phase Retrieval. - Saurav K. Shastri; Rizwan Ahmad; Philip Schniter (ACSSC, 2023)

A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging. - Jeffrey Wen; Rizwan Ahmad; Philip Schniter (ICML, 2023)

A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems. - Matthew Bendel; Rizwan Ahmad; Philip Schniter (NeurIPS, 2023)

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction. - Jeffrey Wen; Rizwan Ahmad; Philip Schniter (ECCV (60), 2024)

Surface Coil Intensity Correction for MRI. - Xuan Lei; Philip Schniter; Chong Chen; Muhammad Ahmad Sultan; Rizwan Ahmad (ISBI, 2024)

pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization. - Matthew Bendel; Rizwan Ahmad; Philip Schniter (NeurIPS, 2024)

Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation. - Saurav K. Shastri; Philip Schniter (IEEE Trans. Computational Imaging, 2025)

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems. - Jeffrey Wen; Rizwan Ahmad; Philip Schniter (Trans. Mach. Learn. Res., 2025)

Score Combining for Contrastive OOD Detection. - Edward T. Reehorst; Philip Schniter (CoRR, 2025)

Solving Inverse Problems using Diffusion with Fast Iterative Renoising. - Matthew Bendel; Saurav K. Shastri; Rizwan Ahmad; Philip Schniter (CoRR, 2025)