Search Results - "Nikolopoulos, Pavlos"

Community-aware group testing by Nikolopoulos, Pavlos, Srinivasavaradhan, Sundara Rajan, Guo, Tao, Fragouli, Christina, Diggavi, Suhas

“…Group testing is a technique that can reduce the number of tests needed to identify infected members in a population, by pooling together multiple diagnostic…”
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Group testing for overlapping communities by Nikolopoulos, Pavlos, Srinivasavaradhan, Sundara Rajan, Guo, Tao, Fragouli, Christina, Diggavi, Suhas

“…In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in…”
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Improving Group Testing via Gradient Descent by Rajan Srinivasavaradhan, Sundara, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…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…”
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Dynamic Group Testing to Control and Monitor Disease Progression in a Population by Rajan Srinivasavaradhan, Sundara, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…Proactive testing and interventions are crucial for disease containment during a pandemic until widespread vaccination is achieved. However, a key challenge…”
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A Diagonal Splitting Algorithm for Adaptive Group Testing by Yao, Chaorui, Nikolopoulos, Pavlos, Fragouli, Christina

“…Group testing enables to identify infected individuals in a population using a smaller number of tests than individual testing. To achieve this, group testing…”
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A Diagonal Splitting Algorithm for Adaptive Group Testing by Yao, Chaorui, Nikolopoulos, Pavlos, Fragouli, Christina

“…Group testing enables to identify infected individuals in a population using a smaller number of tests than individual testing. To achieve this, group testing…”
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An entropy reduction approach to continual testing by Srinivasavaradhan, Sundara Rajan, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…SIR (Susceptible, Infected or Recovered) stochastic network models are commonly used to describe the progression of epidemics inside a network. A task of…”
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Dynamic group testing to control and monitor disease progression in a population by Srinivasavaradhan, Sundara Rajan, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…In this paper, we introduce a "discrete-time SIR stochastic block model" that also allows for group testing and interventions on a daily basis. Our model can…”
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Improving Group Testing via Gradient Descent by Srinivasavaradhan, Sundara Rajan, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…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…”
Get full text

Improving Group Testing via Gradient Descent by Srinivasavaradhan, Sundara Rajan, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…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…”
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Group Testing for Community Infections by Nikolopoulos, Pavlos, Srinivasavaradhan, Sundara Rajan, Fragouli, Christina, Diggavi, Suhas N.

“…Group testing is the technique of pooling together diagnostic samples in order to increase the efficiency of medical testing. Traditionally, works in group…”
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Dynamic group testing to control and monitor disease progression in a population by Srinivasavaradhan, Sundara Rajan, Nikolopoulos, Pavlos, Fragouli, Christina, Diggavi, Suhas

“…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…”
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Group testing for overlapping communities by Nikolopoulos, Pavlos, Srinivasavaradhan, Sundara Rajan, Guo, Tao, Fragouli, Christina, Diggavi, Suhas

“…In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in…”
Get full text

Community aware group testing by Nikolopoulos, Pavlos, Guo, Tao, Srinivasavaradhan, Sundara Rajan, Fragouli, Christina, Diggavi, Suhas

“…In this paper, we propose algorithms that leverage a known community structure to make group testing more efficient. We consider a population organized in…”
Get full text