Gal Elidan

Cited by

	All	Since 2018
Citations	4336	1315
h-index	28	18
i10-index	41	26

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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
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Ami WieselHebrew University of Jerusalem, IsraelVerified email at mail.huji.ac.il
Elad EbanGoogleVerified email at google.com
Ian McGrawGoogle Inc.Verified email at google.com
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Ariel JaimovichUltima GenomicsVerified 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 SchuurmansUniversity of Alberta, GoogleVerified 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-OXFORD- 17, S215-S224, 2001	762	2001
Multi-class segmentation with relative location prior S Gould, J Rodgers, D Cohen, G Elidan, D Koller International journal of computer vision 80, 300-316, 2008	511	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	367	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	311	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller Advances in Neural Information Processing Systems 13, 2000	162	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	159	2008
Copula bayesian networks G Elidan Advances in neural information processing systems 23, 2010	154	2010
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	146	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	146	2008
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	132	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	124	2017
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI 132, 139, 2002	108	2002
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	104	2021
Using combinatorial optimization within max-product belief propagation D Tarlow, G Elidan, D Koller, JC Duchi Advances in neural information processing systems 19, 2006	96	2006
Learning bounded treewidth Bayesian networks G Elidan, S Gould Advances in neural information processing systems 21, 2008	94	2008
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	91	2013
Copulas in machine learning G Elidan Copulae in Mathematical and Quantitative Finance: Proceedings of the …, 2013	89	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	82	2006
Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller Advances in Neural Information Processing Systems 21, 2008	69	2008
Net-dnf: Effective deep modeling of tabular data L Katzir, G Elidan, R El-Yaniv International conference on learning representations, 2020	57	2020

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