Gal Elidan

Cited by

	All	Since 2018
Citations	4110	1103
h-index	25	17
i10-index	40	25

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Co-authors

Nir FriedmanProfessor of Computer Science and Medicine, 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
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Ian McGrawGoogle Inc.Verified email at google.com
Elad EbanGoogleVerified email at google.com
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
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
Dana Pe'erHoward Hughes Medical Institute / Sloan Kettering InstituteVerified email at mskcc.org
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
Farshid MoussaviWaymoVerified email at waymo.com
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Ofer MeshiResearch Scientist at GoogleVerified email at google.com
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Daniel TarlowResearch Scientist, Google Brain - MontrealVerified email at cs.toronto.edu

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	753	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, 2008	507	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	360	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	302	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller Advances in Neural Information Processing Systems 13, 2000	159	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	155	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	145	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	145	2008
Copula bayesian networks G Elidan Advances in neural information processing systems 23, 2010	144	2010
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	126	2005
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	110	2017
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI 132, 139, 2002	107	2002
Using combinatorial optimization within max-product belief propagation D Tarlow, G Elidan, D Koller, JC Duchi Advances in neural information processing systems 19, 2006	95	2006
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	91	2013
Learning bounded treewidth Bayesian networks G Elidan, S Gould Advances in neural information processing systems 21, 2008	88	2008
Copulas in machine learning G Elidan Copulae in Mathematical and Quantitative Finance: Proceedings of the …, 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	83	2006
Explaining in style: Training a gan to explain a classifier in stylespace O Lang, Y Gandelsman, M Yarom, Y Wald, G Elidan, A Hassidim, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 693-702, 2021	71	2021
Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller Advances in Neural Information Processing Systems 21, 2008	68	2008
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	55	2007

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