Seuraa
Nelvin Tan
Nelvin Tan
Vahvistettu sähköpostiosoite verkkotunnuksessa cam.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Near-optimal sparsity-constrained group testing: Improved bounds and algorithms
O Gebhard, M Hahn-Klimroth, O Parczyk, M Penschuck, M Rolvien, ...
IEEE Transactions on Information Theory 68 (5), 3253-3280, 2022
172022
Approximate message passing with rigorous guarantees for pooled data and quantitative group testing
N Tan, PP Cobo, J Scarlett, R Venkataramanan
SIAM Journal on Mathematics of Data Science 6 (4), 1027-1054, 2024
92024
Near-optimal sparse adaptive group testing
N Tan, J Scarlett
2020 IEEE International Symposium on Information Theory (ISIT), 1420-1425, 2020
92020
Fast splitting algorithms for sparsity-constrained and noisy group testing
E Price, J Scarlett, N Tan
Information and Inference: A Journal of the IMA 12 (2), 1141-1171, 2023
72023
Performance bounds for group testing with doubly-regular designs
N Tan, W Tan, J Scarlett
IEEE Transactions on Information Theory 69 (2), 1224-1243, 2022
72022
Mixed regression via approximate message passing
N Tan, R Venkataramanan
Journal of Machine Learning Research 24 (317), 1-44, 2023
62023
An analysis of the DD algorithm for group testing with size-constrained tests
N Tan, J Scarlett
2021 IEEE International Symposium on Information Theory (ISIT), 1967-1972, 2021
42021
Mixed linear regression via approximate message passing
N Tan, R Venkataramanan
International Conference on Artificial Intelligence and Statistics, 2116-2131, 2023
22023
Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests
N Tan, PP Cobo, R Venkataramanan
arXiv preprint arXiv:2408.00385, 2024
12024
Quantitative Group Testing and Pooled Data with Sublinear Number of Tests
N Tan, P Pascual Cobo, R Venkataramanan
International Zurich Seminar on Information and Communication (IZS 2024), 13-13, 2024
12024
Improved bounds and algorithms for sparsity-constrained group testing
N Tan, J Scarlett
arXiv preprint arXiv:2004.03119, 2020
12020
Approximate Message Passing for Matrix Regression
TCN Tan
2024
Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing
R Venkataramanan, N Tan, P Pascual Cobo, J Scarlett
2024
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Artikkelit 1–13