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Sparse Multinomial Logistic Regression via Approximate Message Passing

Type: Journal Paper

Author : Byrne, Evan, and Philip Schniter.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Year: 2016

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Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing

Type: Journal Paper

Author : Justin Ziniel; Philip Schniter

Year: 2013

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Learning and free energies for vector approximate message passing

Type: Journal Paper

Author : Fletcher, Alyson K., and Philip Schniter.

Publisher: IEEE

Year: 2017

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Parametric Bilinear Generalized Approximate Message Passing

Type: Journal Paper

Author : Parker, Jason T., and Philip Schniter.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Year: 2016

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AMP-Inspired Deep Networks for Sparse Linear Inverse Problems

Type: Journal Paper

Author : Mark Borgerding; Philip Schniter; Sundeep Rangan

Year: 2017

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Sketched clustering via hybrid approximate message passing

Type: Journal Paper

Author : Evan Byrne; Remi Gribonval; Philip Schniter

Year: 2017

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Bilinear Generalized Approximate Message Passing—Part I: Derivation

Type: Journal Paper

Author : Jason T. Parker; Philip Schniter; Volkan Cevher

Year: 2014

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Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Type: Journal Paper

Author : Sundeep Rangan; Alyson K. Fletcher; Philip Schniter; Ulugbek S. Kamilov

Year: 2017

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A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm

Type: Journal Paper

Author : Maher Al-Shoukairi; Philip Schniter; Bhaskar D. Rao

Year: 2018

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In-Band Full-Duplex Wireless: Challenges and Opportunities

Type: Journal Paper

Author : Ashutosh Sabharwal; Philip Schniter; Dongning Guo; Daniel W. Bliss; Sampath Rangarajan; Risto Wichman

Year: 2014

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Sparse Multinomial Logistic Regression via Approximate Message Passing

Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing

Learning and free energies for vector approximate message passing

Parametric Bilinear Generalized Approximate Message Passing

AMP-Inspired Deep Networks for Sparse Linear Inverse Problems

Sketched clustering via hybrid approximate message passing

Bilinear Generalized Approximate Message Passing—Part I: Derivation

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm

In-Band Full-Duplex Wireless: Challenges and Opportunities

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Sparse Multinomial Logistic Regression via Approximate Message Passing

Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing

Learning and free energies for vector approximate message passing

Parametric Bilinear Generalized Approximate Message Passing

AMP-Inspired Deep Networks for Sparse Linear Inverse Problems

Sketched clustering via hybrid approximate message passing

Bilinear Generalized Approximate Message Passing—Part I: Derivation

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm

In-Band Full-Duplex Wireless: Challenges and Opportunities