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

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

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

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)

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

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