Benjamin Coleman
Benjamin Coleman
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Point-of-care colorimetric analysis through smartphone video
B Coleman, C Coarsey, MA Kabir, W Asghar
Sensors and Actuators B: Chemical 282, 225-231, 2019
Sub-linear race sketches for approximate kernel density estimation on streaming data
B Coleman, A Shrivastava
Proceedings of The Web Conference 2020, 1739-1749, 2020
Development of a flow-free magnetic actuation platform for an automated microfluidic ELISA
C Coarsey, B Coleman, MA Kabir, M Sher, W Asghar
RSC advances 9 (15), 8159-8168, 2019
Cell phone based colorimetric analysis for point-of-care settings
B Coleman, C Coarsey, W Asghar
Analyst 144 (6), 1935-1947, 2019
To petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics
RAL Elworth, Q Wang, PK Kota, CJ Barberan, B Coleman, A Balaji, ...
Nucleic acids research 48 (10), 5217-5234, 2020
Fast processing and querying of 170tb of genomics data via a repeated and merged bloom filter (rambo)
G Gupta, M Yan, B Coleman, B Kille, RAL Elworth, T Medini, T Treangen, ...
Proceedings of the 2021 International Conference on Management of Data, 2226 …, 2021
Sub-linear memory sketches for near neighbor search on streaming data
B Coleman, R Baraniuk, A Shrivastava
International Conference on Machine Learning, 2089-2099, 2020
A one-pass distributed and private sketch for kernel sums with applications to machine learning at scale
B Coleman, A Shrivastava
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
Practical near neighbor search via group testing
J Engels, B Coleman, A Shrivastava
Advances in Neural Information Processing Systems 34, 9950-9962, 2021
One-pass diversified sampling with application to terabyte-scale genomic sequence streams
B Coleman, B Geordie, L Chou, RAL Elworth, T Treangen, A Shrivastava
International Conference on Machine Learning, 4202-4218, 2022
Graph reordering for cache-efficient near neighbor search
B Coleman, S Segarra, AJ Smola, A Shrivastava
Advances in Neural Information Processing Systems 35, 38488-38500, 2022
Development of a point-of-care assay for HIV-1 viral load using higher refractive index antibody-coated microbeads
M Sher, B Coleman, M Caputi, W Asghar
Sensors 21 (5), 1819, 2021
Modeling and analysis of power line communications for application in smart grid
M Peck, G Alvarez, B Coleman, H Moradi, M Forest, V Aalo
arXiv preprint arXiv:1709.06883, 2017
H Chi, James Caverlee, Julian McAuley, and Derek Zhiyuan Cheng. How to train data-efficient llms
N Sachdeva, B Coleman, WC Kang, J Ni, L Hong
arXiv preprint arXiv:2402.09668, 2024
Bloom origami assays: Practical group testing
L Abraham, G Becigneul, B Coleman, B Scholkopf, A Shrivastava, ...
arXiv preprint arXiv:2008.02641, 2020
Unified Embedding: Battle-tested feature representations for web-scale ML systems
B Coleman, WC Kang, M Fahrbach, R Wang, L Hong, E Chi, D Cheng
Advances in Neural Information Processing Systems 36, 2024
Dessert: An efficient algorithm for vector set search with vector set queries
J Engels, B Coleman, V Lakshman, A Shrivastava
Advances in Neural Information Processing Systems 36, 2024
Revisiting consistent hashing with bounded loads
J Chen, B Coleman, A Shrivastava
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3976-3983, 2021
STORM: Sketch Toward Online Risk Minimization
G Gupta, B Coleman, J Chen, A Shrivastava
Encoding Coacervate Droplets with Paramagnetism for Dynamical Reconfigurability and Spatial Addressability
Y Huang, J Huang, W Yin, F Xie, B Coleman, Y Cao, S Aya, W Zhu, ...
ACS nano 17 (7), 6234-6246, 2023
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