Gal Elidan

Cited by

	All	Since 2016
Citations	3597	1030
h-index	22	16
i10-index	35	22

280

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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
Ian McGrawGoogle Inc.Verified email at google.com
Ami WieselHebrew University of Jerusalem, IsraelVerified email at mail.huji.ac.il
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Ariel JaimovichPostdoc in Biochemistry, Stanford universityVerified email at stanford.edu
Elad EbanGoogleVerified email at google.com
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
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Ofer MeshiResearch Scientist at GoogleVerified email at google.com
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
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


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Inferring subnetworks from perturbed expression profiles D Pe’er, A Regev, G Elidan, N Friedman Bioinformatics 17 (suppl_1), S215-S224, 2001	719	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	458	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	326	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	293	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller NIPS 13, 479-485, 2000	146	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	144	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	130	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	130	2008
Copula Bayesian Networks. G Elidan NIPS, 559-567, 2010	117	2010
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	115	2005
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI, 132-139, 2002	99	2002
Using combinatorial optimization within max-product belief propagation J Elidan, D Koller Advances in neural information processing systems 19, 369, 2007	97	2007
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	87	2013
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	79	2006
Learning Bounded Treewidth Bayesian Networks. G Elidan, S Gould Journal of Machine Learning Research 9 (12), 2008	77	2008
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	65	2009
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	62	2017
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	53	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	47	2006

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