5 citations · 5 across the 4 of their papers we have counts for
5 papers
A Diagonal Splitting Algorithm for Adaptive Group Testing
Chaorui Yao, Pavlos Nikolopoulos, Christina Fragouli
Group testing enables to identify infected individuals in a population using a smaller number of tests than individual testing. To achieve this, group testing algorithms commonly a…
Improving Group Testing via Gradient Descent
Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli +1
We study the problem of group testing with non-identical, independent priors. So far, the pooling strategies that have been proposed in the literature take the following approach:…
Dynamic group testing to control and monitor disease progression in a population
Sundara Rajan Srinivasavaradhan, Pavlos Nikolopoulos, Christina Fragouli +1
In the context of a pandemic like COVID-19, and until most people are vaccinated, proactive testing and interventions have been proved to be the only means to contain the disease s…
Group testing for overlapping communities
Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo +2
In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in connected communities: ea…
Community aware group testing
Pavlos Nikolopoulos, Tao Guo, Sundara Rajan Srinivasavaradhan +2
In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in disjoint communities: eac…