Gal Elidan

Cited by

	All	Since 2020
Citations	4914	1521
h-index	31	20
i10-index	49	29

460

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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
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Geremy HeitzGoogle Inc.Verified email at google.com
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 UniversityVerified 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 | CovariantVerified email at cs.berkeley.edu
Gal ChechikNVIDIA, Bar Ilan UniversityVerified email at biu.ac.il
Mark HorowitzProfessor of Electrical Engineering and Computer ScienceVerified email at ee.stanford.edu
Farshid Moussavialumni.stanford.eduVerified email at alumni.stanford.edu
Dale SchuurmansUniversity of Alberta, Google DeepMindVerified email at cs.ualberta.ca
Ofer MeshiResearch Scientist at GoogleVerified email at google.com
Iftach NachmanAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Daniel TarlowResearch Scientist, Google DeepMind - 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	764	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	527	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	383	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	321	2003
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	170	2021
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller Advances in Neural Information Processing Systems 13, 2000	170	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	168	2008
Copula bayesian networks G Elidan Advances in neural information processing systems 23, 2010	160	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	157	2008
Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ... Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022	145	2022
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	143	2017
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	138	2005
Net-dnf: Effective deep modeling of tabular data L Katzir, G Elidan, R El-Yaniv International conference on learning representations, 2020	110	2020
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI 132, 139, 2002	109	2002
Learning bounded treewidth Bayesian networks G Elidan, S Gould Advances in neural information processing systems 21, 2008	104	2008
Copulas in machine learning G Elidan Copulae in Mathematical and Quantitative Finance: Proceedings of the …, 2013	97	2013
Using combinatorial optimization within max-product belief propagation D Tarlow, G Elidan, D Koller, JC Duchi Advances in neural information processing systems 19, 2006	97	2006
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	92	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	84	2006
Factually consistent summarization via reinforcement learning with textual entailment feedback P Roit, J Ferret, L Shani, R Aharoni, G Cideron, R Dadashi, M Geist, ... arXiv preprint arXiv:2306.00186, 2023	74	2023

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