| A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions MW Mahoney, WL Jorgensen The Journal of chemical physics 112 (20), 8910-8922, 2000 | 2836 | 2000 |
| Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters J Leskovec, KJ Lang, A Dasgupta, MW Mahoney Internet Mathematics 6 (1), 29-123, 2009 | 2422 | 2009 |
| A survey of quantization methods for efficient neural network inference A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer Low-Power Computer Vision, 291-326, 2022 | 1382 | 2022 |
| Empirical comparison of algorithms for network community detection J Leskovec, KJ Lang, M Mahoney Proceedings of the 19th international conference on World wide web, 631-640, 2010 | 1301 | 2010 |
| Statistical properties of community structure in large social and information networks J Leskovec, KJ Lang, A Dasgupta, MW Mahoney Proceedings of the 17th international conference on World Wide Web, 695-704, 2008 | 1213 | 2008 |
| On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning. P Drineas, MW Mahoney, N Cristianini journal of machine learning research 6 (12), 2005 | 1179 | 2005 |
| Randomized algorithms for matrices and data MW Mahoney Foundations and Trends® in Machine Learning 3 (2), 123-224, 2011 | 1173 | 2011 |
| CUR matrix decompositions for improved data analysis MW Mahoney, P Drineas Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009 | 1055 | 2009 |
| Characterizing possible failure modes in physics-informed neural networks A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney Advances in neural information processing systems 34, 26548-26560, 2021 | 810 | 2021 |
| Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix P Drineas, R Kannan, MW Mahoney SIAM Journal on computing 36 (1), 158-183, 2006 | 699 | 2006 |
| Fast approximation of matrix coherence and statistical leverage P Drineas, M Magdon-Ismail, MW Mahoney, DP Woodruff The Journal of Machine Learning Research 13 (1), 3475-3506, 2012 | 638 | 2012 |
| Relative-error CUR matrix decompositions P Drineas, MW Mahoney, S Muthukrishnan SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008 | 633 | 2008 |
| Q-bert: Hessian based ultra low precision quantization of bert S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020 | 618 | 2020 |
| Fast Monte Carlo algorithms for matrices I: Approximating matrix multiplication P Drineas, R Kannan, MW Mahoney SIAM Journal on Computing 36 (1), 132-157, 2006 | 603 | 2006 |
| Faster least squares approximation P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós Numerische mathematik 117 (2), 219-249, 2011 | 594 | 2011 |
| Hawq: Hessian aware quantization of neural networks with mixed-precision Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF international conference on computer vision, 293-302, 2019 | 588 | 2019 |
| Revisiting the Nyström method for improved large-scale machine learning A Gittens, MW Mahoney The Journal of Machine Learning Research 17 (1), 3977-4041, 2016 | 517 | 2016 |
| An improved approximation algorithm for the column subset selection problem C Boutsidis, MW Mahoney, P Drineas Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009 | 501 | 2009 |
| Zeroq: A novel zero shot quantization framework Y Cai, Z Yao, Z Dong, A Gholami, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 477 | 2020 |
| Sampling algorithms for l2 regression and applications P Drineas, MW Mahoney, S Muthukrishnan Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete …, 2006 | 473 | 2006 |
Petros DrineasProfessor, Computer Science Department, Purdue UniversityVerified email at purdue.edu
