Gal Elidan - Google Scholar Citations

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Citations	3152	1116
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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
Stephen GouldAustralian National UniversityVerified email at anu.edu.au
Tommy KaplanProfessor of Computer Science and Computational Biology, The Hebrew UniversityVerified email at cs.huji.ac.il
Ariel JaimovichPostdoc in Biochemistry, Stanford universityVerified email at stanford.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il
Elad EbanGoogleVerified email at google.com
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
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
Ami WieselHebrew University of Jerusalem, IsraelVerified email at mail.huji.ac.il
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Daniel TarlowResearch Scientist, Google Brain - MontrealVerified email at cs.toronto.edu
Rif A. SaurousGoogleVerified email at google.com
Israel NelkenHebrew UniversityVerified email at mail.huji.ac.il

Gal Elidan

Hebrew University / Google

Verified email at huji.ac.il - Homepage

Machine Learning Graphical Models Structure Learning Copulas


Title	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	695	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	393	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	289	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	283	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller Advances in Neural Information Processing Systems, 479-485, 2001	125	2001
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	124	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	112	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 (Jan), 1-21, 2008	112	2008
Learning hidden variable networks: The information bottleneck approach G Elidan, N Friedman Journal of Machine Learning Research 6 (Jan), 81-127, 2005	98	2005
Copula bayesian networks G Elidan Advances in neural information processing systems, 559-567, 2010	94	2010
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI, 132-139, 2002	93	2002
Using combinatorial optimization within max-product belief propagation D Tarlow, G Elidan, D Koller, JC Duchi Advances in neural information processing systems, 369-376, 2007	86	2007
Learning the dimensionality of hidden variables G Elidan, N Friedman Proceedings of the Seventeenth conference on Uncertainty in artificial …, 2001	78	2001
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	67	2006
Learning bounded treewidth Bayesian networks G Elidan, S Gould Journal of Machine Learning Research 9 (Dec), 2699-2731, 2008	65	2008
Copulas in machine learning G Elidan Copulae in mathematical and quantitative finance, 39-60, 2013	57	2013
Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller Advances in Neural Information Processing Systems, 633-640, 2009	55	2009
Learning object shape: From drawings to images G Elidan, G Heitz, D Koller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	44	2006
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	43	2007
The information bottleneck EM algorithm G Elidan, N Friedman Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	37	2002

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