Lawrence K Saul

Cited by

	All	Since 2018
Citations	46319	16241
h-index	52	34
i10-index	101	62

3300

1650

825

2475

19981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023124 134 147 192 260 428 502 820 1098 1378 1551 1809 2109 2256 2411 2592 2744 2883 3068 2884 3101 3201 3206 3013 2809 911

Public access

View all

8 articles

1 article

available

not available

Based on funding mandates

Co-authors

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Geoffrey M. VoelkerUniversity of California, San DiegoVerified email at cs.ucsd.edu
Stefan SavageProfessor of Computer Science and Engineering, UC San DiegoVerified email at cs.ucsd.edu
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchVerified email at alum.mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
John BlitzerGoogle ResearchVerified email at google.com
Fernando PereiraVP, GoogleVerified email at google.com
Diane HuEtsyVerified email at etsy.com
Jont B AllenUniversity of IL, Professor of ECEVerified email at illinois.edu
Yun MaoFacebookVerified email at fb.com
Do-kyum KimPhD Student of Computer Science, UCSDVerified email at cs.ucsd.edu
John Ashley BurgoyneUniversity of AmsterdamVerified email at uva.nl
Yuanyuan ZhouUniversity of California, San DiegoVerified email at eng.ucsd.edu
Peng HuangUniversity of MichiganVerified email at umich.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Ian D. FosterUC San DiegoVerified email at eng.ucsd.edu
Laurens van der MaatenResearch Director, Meta AI (FAIR)Verified email at fb.com
Andrew I. ScheinWaymoVerified email at andrewschein.com
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu

Lawrence K Saul

Senior Research Scientist, Center for Computational Mathematics, Flatiron Institute

Verified email at flatironinstitute.org - Homepage

Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Nonlinear dimensionality reduction by locally linear embedding ST Roweis, LK Saul science 290 (5500), 2323-2326, 2000	17736	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4976	1999
Distance metric learning for large margin nearest neighbor classification. KQ Weinberger, LK Saul Journal of machine learning research 10 (2), 2009	4493	2009
Distance metric learning for large margin nearest neighbor classification KQ Weinberger, J Blitzer, L Saul Advances in neural information processing systems 18, 2005	2423	2005
Think globally, fit locally: unsupervised learning of low dimensional manifolds LK Saul, ST Roweis Journal of machine learning research 4 (Jun), 119-155, 2003	2162	2003
Unsupervised learning of image manifolds by semidefinite programming KQ Weinberger, LK Saul International journal of computer vision 70, 77-90, 2006	1187	2006
Beyond blacklists: learning to detect malicious web sites from suspicious URLs J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	1094	2009
Kernel methods for deep learning Y Cho, L Saul Advances in neural information processing systems 22, 2009	790	2009
Advances in Neural Information Processing Systems 16 S Thrun, L Saul, B Schölkopf Proceedings of the 2003 Conference. illustrated edition. London, England …, 2004	738	2004
Identifying suspicious URLs: an application of large-scale online learning J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 26th annual international conference on machine learning …, 2009	720	2009
Learning a kernel matrix for nonlinear dimensionality reduction KQ Weinberger, F Sha, LK Saul Proceedings of the twenty-first international conference on Machine learning …, 2004	649	2004
Mean field theory for sigmoid belief networks LK Saul, T Jaakkola, MI Jordan Journal of artificial intelligence research 4, 61-76, 1996	559	1996
Advances in neural information processing systems 17: proceedings of the 2004 conference LK Saul, Y Weiss, L Bottou MIT Press, 2005	414	2005
Multiplicative updates for nonnegative quadratic programming in support vector machines F Sha, L Saul, D Lee Advances in neural information processing systems 15, 2002	378	2002
Fast solvers and efficient implementations for distance metric learning KQ Weinberger, LK Saul Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008	367	2008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding KQ Weinberger, LK Saul AAAI 6, 1683-1686, 2006	356	2006
Exploiting tractable substructures in intractable networks L Saul, M Jordan Advances in neural information processing systems 8, 1995	352	1995
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	338	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	327	2005
Global coordination of local linear models S Roweis, L Saul, GE Hinton Advances in neural information processing systems 14, 2001	300	2001

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors