3 papers
cs.IT2024
Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests
Nelvin Tan, Pablo Pascual Cobo, Ramji Venkataramanan
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number o…
cs.IT2023
Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing
Nelvin Tan, Pablo Pascual Cobo, Jonathan Scarlett +1
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number o…
cs.IT2020
Improved Bounds and Algorithms for Sparsity-Constrained Group Testing
Nelvin Tan, Jonathan Scarlett
In group testing, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is present. Thi…