Gal Elidan

Cited by

	All	Since 2016
Citations	3738	1150
h-index	22	17
i10-index	35	23

280

140

210

20012002200320042005200620072008200920102011201220132014201520162017201820192020202111 35 69 117 139 156 185 189 204 267 218 262 234 225 227 221 199 185 181 217 147

Co-authors

Nir FriedmanProfessor of Computer Science and Life Sciences, Hebrew UniversityVerified email at mail.huji.ac.il
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Geremy HeitzGoogle Inc.Verified email at google.com
Ami WieselHebrew University of Jerusalem, IsraelVerified email at mail.huji.ac.il
Ian McGrawGoogle Inc.Verified email at google.com
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Elad EbanGoogleVerified email at google.com
Ariel JaimovichPostdoc in Biochemistry, Stanford universityVerified email at stanford.edu
Tommy KaplanProfessor of Computer Science and Computational Biology, The Hebrew UniversityVerified email at cs.huji.ac.il
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il
Mark HorowitzProfessor of Electrical Engineering and Computer ScienceVerified email at ee.stanford.edu
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Ofer MeshiResearch Scientist at GoogleVerified email at google.com
Israel NelkenHebrew UniversityVerified email at mail.huji.ac.il
Roi LivniTel Aviv UniversityVerified email at tauex.tau.ac.il
Martin MladenovGoogle ResearchVerified email at google.com
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com

Gal Elidan

Hebrew University / Google

Verified email at huji.ac.il - Homepage

Machine Learning Graphical Models Structure Learning Copulas


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Inferring subnetworks from perturbed expression profiles D Pe’er, A Regev, G Elidan, N Friedman Bioinformatics 17 (suppl_1), S215-S224, 2001	734	2001
Multi-class segmentation with relative location prior S Gould, J Rodgers, D Cohen, G Elidan, D Koller International journal of computer vision 80 (3), 300-316, 2008	471	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	336	2012
Modeling dependencies in protein-DNA binding sites Y Barash, G Elidan, N Friedman, T Kaplan Proceedings of the seventh annual international conference on Research in …, 2003	300	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller NIPS 13, 479-485, 2000	152	2000
Markov random field based automatic image alignment for electron tomography F Amat, F Moussavi, LR Comolli, G Elidan, KH Downing, M Horowitz Journal of structural biology 161 (3), 260-275, 2008	146	2008
Max-margin classification of data with absent features G Chechik, G Heitz, G Elidan, P Abbeel, D Koller The Journal of Machine Learning Research 9, 1-21, 2008	135	2008
Max-margin Classification of Data with Absent Features. G Chechik, G Heitz, G Elidan, P Abbeel, D Koller Journal of Machine Learning Research 9 (1), 2008	135	2008
Copula Bayesian Networks. G Elidan NIPS, 559-567, 2010	129	2010
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	118	2005
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI, 132-139, 2002	103	2002
Using combinatorial optimization within max-product belief propagation J Elidan, D Koller Advances in neural information processing systems 19, 369, 2007	98	2007
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	89	2013
Learning Bounded Treewidth Bayesian Networks. G Elidan, S Gould Journal of Machine Learning Research 9 (12), 2008	82	2008
Towards an integrated protein–protein interaction network: A relational Markov network approach A Jaimovich, G Elidan, H Margalit, N Friedman Journal of Computational Biology 13 (2), 145-164, 2006	82	2006
Scalable learning of non-decomposable objectives E Eban, M Schain, A Mackey, A Gordon, R Rifkin, G Elidan Artificial intelligence and statistics, 832-840, 2017	77	2017
Copulas in machine learning G Elidan Copulae in mathematical and quantitative finance, 39-60, 2013	76	2013
Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller International journal of computer vision 84 (1), 40-62, 2009	67	2009
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	52	2007
Learning object shape: From drawings to images G Elidan, G Heitz, D Koller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	46	2006

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 this author

Cited by

Co-authors