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Proceedings of the National Academy of Sciences of the United States of America
|
January 14, 2009
CUR matrix decompositions for improved data analysis
Michael W Mahoney, Petros Drineas
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics
|
November 25, 2014
LSRN: A PARALLEL ITERATIVE SOLVER FOR STRONGLY OVER- OR UNDERDETERMINED SYSTEMS
Xiangrui Meng, Michael A Saunders, Michael W Mahoney
BMC Bioinformatics
|
May 19, 2012
rCUR: an R package for CUR matrix decomposition
András Bodor, István Csabai, Michael W Mahoney, et al.
Annals of Human Genetics
|
September 10, 2011
Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation
Asif Javed, Petros Drineas, Michael W Mahoney, et al.
Nature Communications
|
July 6, 2021
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H Martin, Tongsu Serena Peng, Michael W Mahoney
Proceedings of the ... Annual ACM-SIAM Symposium on Discrete Algorithms. ACM-SIAM Symposium on Discrete Algorithms
|
May 22, 2018
Weighted SGD for ℓ <i></i> Regression with Randomized Preconditioning
Jiyan Yang, Yin-Lam Chow, Christopher Ré, et al.
Analytical Chemistry
|
April 1, 2015
Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions
Jiyan Yang, Oliver Rübel, Prabhat, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
February 14, 2015
Think locally, act locally: detection of small, medium-sized, and large communities in large networks
Lucas G S Jeub, Prakash Balachandran, Mason A Porter, et al.
Nature Communications
|
November 23, 2025
Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning
Dongwei Lyu, Rie Nakata, Pu Ren, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences
|
August 25, 2020
Shallow neural networks for fluid flow reconstruction with limited sensors
N Benjamin Erichson, Lionel Mathelin, Zhewei Yao, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Proceedings of the National Academy of Sciences of the United States of America
|
January 14, 2009
CUR matrix decompositions for improved data analysis
Michael W Mahoney, Petros Drineas
SIAM Journal on Scientific Computing : a Publication of the Society for Industrial and Applied Mathematics
|
November 25, 2014
LSRN: A PARALLEL ITERATIVE SOLVER FOR STRONGLY OVER- OR UNDERDETERMINED SYSTEMS
Xiangrui Meng, Michael A Saunders, Michael W Mahoney
BMC Bioinformatics
|
May 19, 2012
rCUR: an R package for CUR matrix decomposition
András Bodor, István Csabai, Michael W Mahoney, et al.
Annals of Human Genetics
|
September 10, 2011
Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation
Asif Javed, Petros Drineas, Michael W Mahoney, et al.
Nature Communications
|
July 6, 2021
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H Martin, Tongsu Serena Peng, Michael W Mahoney
Proceedings of the ... Annual ACM-SIAM Symposium on Discrete Algorithms. ACM-SIAM Symposium on Discrete Algorithms
|
May 22, 2018
Weighted SGD for ℓ <i></i> Regression with Randomized Preconditioning
Jiyan Yang, Yin-Lam Chow, Christopher Ré, et al.
Analytical Chemistry
|
April 1, 2015
Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions
Jiyan Yang, Oliver Rübel, Prabhat, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
February 14, 2015
Think locally, act locally: detection of small, medium-sized, and large communities in large networks
Lucas G S Jeub, Prakash Balachandran, Mason A Porter, et al.
Nature Communications
|
November 23, 2025
Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning
Dongwei Lyu, Rie Nakata, Pu Ren, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences
|
August 25, 2020
Shallow neural networks for fluid flow reconstruction with limited sensors
N Benjamin Erichson, Lionel Mathelin, Zhewei Yao, et al.
Page
of 2