93 citations · 524 across the 46 of their papers we have counts for
38 papers · 1 filter
Contact Tracing Information Improves the Performance of Group Testing Algorithms
Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong +2
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In group testing, we are given samples, one per individual. These samples ar…
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions
Yanting Ma, Min Kang, Jack W. Silverstein +1
A common sparse linear regression formulation is the l1 regularized least squares, which is also known as least absolute shrinkage and selection operator (LASSO). Approximate messa…
mmWave Channel Estimation via Approximate Message Passing with Side Information
Dror Baron, Cynthia Rush, Yavuz Yapici
This work considers millimeter-wave channel estimation in a setting where parameters of the underlying mmWave channels are varying dynamically over time and there is a single drift…
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing
Hangjin Liu, You, Zhou +2
Nonlinear function estimation is core to modern machine learning applications. In this paper, to perform nonlinear function estimation, we reduce a nonlinear inverse problem to a l…
Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors
Yanting Ma, Cynthia Rush, Dror Baron
Approximate message passing (AMP) is a class of low-complexity, scalable algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown sign…
An Analysis of State Evolution for Approximate Message Passing with Side Information
Hangjin Liu, Cynthia Rush, Dror Baron
A common goal in many research areas is to reconstruct an unknown signal x from noisy linear measurements. Approximate message passing (AMP) is a class of low-complexity algorithms…