30 citations · 105 across the 12 of their papers we have counts for
13 papers
Noisy Pooled PCR for Virus Testing
Junan Zhu, Kristina Rivera, Dror Baron
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PC…
Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem
Junan Zhu, Dror Baron
Real-world applications such as magnetic resonance imaging with multiple coils, multi-user communication, and diffuse optical tomography often assume a linear model where several s…
Generalized Geometric Programming for Rate Allocation in Consensus
Ryan Pilgrim, Junan Zhu, Dror Baron +1
Distributed averaging, or distributed average consensus, is a common method for computing the sample mean of the data dispersed among the nodes of a network in a decentralized mann…
Statistical Physics and Information Theory Perspectives on Linear Inverse Problems
Junan Zhu
Many real-world problems in machine learning, signal processing, and communications assume that an unknown vector is measured by a matrix A, resulting in a vector , whe…
An Overview of Multi-Processor Approximate Message Passing
Junan Zhu, Ryan Pilgrim, Dror Baron
Approximate message passing (AMP) is an algorithmic framework for solving linear inverse problems from noisy measurements, with exciting applications such as reconstructing images,…
Performance Trade-Offs in Multi-Processor Approximate Message Passing
Junan Zhu, Ahmad Beirami, Dror Baron
We consider large-scale linear inverse problems in Bayesian settings. Our general approach follows a recent line of work that applies the approximate message passing (AMP) framewor…