69 citations · 105 across the 23 of their papers we have counts for
4 papers · 1 filter
Verifiable Deep Quantitative Group Testing
Shreyas Jayant Grampurohit, Satish Mulleti, Ajit Rajwade
We present a neural network-based framework for solving the quantitative group testing (QGT) problem that achieves both high decoding accuracy and structural verifiability. In QGT,…
Compressive Recovery of Signals Defined on Perturbed Graphs
Sabyasachi Ghosh, Ajit Rajwade
Recovery of signals with elements defined on the nodes of a graph, from compressive measurements is an important problem, which can arise in various domains such as sensor networks…
Unlabelled Sensing with Priors: Algorithm and Bounds
Garweet Sresth, Ajit Rajwade, Satish Mulleti
In this study, we consider a variant of unlabelled sensing where the measurements are sparsely permuted, and additionally, a few correspondences are known. We present an estimator…
Group Testing with Side Information via Generalized Approximate Message Passing
Shu-Jie Cao, Ritesh Goenka, Chau-Wai Wong +2
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In a group testing setup, we are given n samples, one per individual. Each indiv…