Near-Optimal Sparse Adaptive Group Testing. - Nelvin Tan; Jonathan Scarlett (ISIT, 2020)

Improved Bounds and Algorithms for Sparsity-Constrained Group Testing. - Nelvin Tan; Jonathan Scarlett (CoRR, 2020)

An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests. - Nelvin Tan; Jonathan Scarlett (ISIT, 2021)

Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing. - Eric Price 001; Jonathan Scarlett; Nelvin Tan (CoRR, 2021)

Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. - Oliver Gebhard; Max Hahn-Klimroth; Olaf Parczyk; Manuel Penschuck; Maurice Rolvien; Jonathan Scarlett; Nelvin Tan (IEEE Trans. Inf. Theory, 2022)

Mixed Linear Regression via Approximate Message Passing. - Nelvin Tan; Ramji Venkataramanan (AISTATS, 2023)

Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing. - Nelvin Tan; Jonathan Scarlett; Ramji Venkataramanan (CoRR, 2023)

Mixed Regression via Approximate Message Passing. - Nelvin Tan; Ramji Venkataramanan (J. Mach. Learn. Res., 2023)

Performance Bounds for Group Testing With Doubly-Regular Designs. - Nelvin Tan; Way Tan; Jonathan Scarlett (IEEE Trans. Inf. Theory, 2023)

Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests. - Nelvin Tan; Pablo Pascual Cobo; Ramji Venkataramanan (CoRR, 2024)

Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing. - Nelvin Tan; Pablo Pascual Cobo; Jonathan Scarlett; Ramji Venkataramanan (SIAM J. Math. Data Sci., 2024)

Improved LLM Agents for Financial Document Question Answering. - Nelvin Tan; Zian Seng; Liang Zhang; Yu-Ching Shih; Dong Yang; Amol Salunkhe (CoRR, 2025)

Flexible and Efficient Drift Detection without Labels. - Nelvin Tan; Yu-Ching Shih; Dong Yang; Amol Salunkhe (CoRR, 2025)