Gal Elidan

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	Total	Desde 2019
Citas	4827	1616
Índice h	30	20
Índice i10	49	31

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Coautores

Nir FriedmanProfessor of Computer Science and Medicine, Hebrew UniversityDirección de correo verificada de mail.huji.ac.il
Daphne KollerCEO and Founder, insitroDirección de correo verificada de insitro.com
Amir GlobersonTel Aviv UniversityDirección de correo verificada de post.tau.ac.il
Geremy HeitzGoogle Inc.Dirección de correo verificada de google.com
Ami WieselHebrew University of Jerusalem, IsraelDirección de correo verificada de mail.huji.ac.il
Elad EbanGoogleDirección de correo verificada de google.com
Ian McGrawGoogle Inc.Dirección de correo verificada de google.com
Stephen GouldProfessor at Australian National UniversityDirección de correo verificada de anu.edu.au
Ariel JaimovichUltima GenomicsDirección de correo verificada de stanford.edu
Tommy KaplanProfessor of Computer Science and Computational Biology, The Hebrew UniversityDirección de correo verificada de cs.huji.ac.il
Dana Pe'erHoward Hughes Medical Institute / Sloan Kettering InstituteDirección de correo verificada de mskcc.org
Pieter AbbeelUC Berkeley | CovariantDirección de correo verificada de cs.berkeley.edu
Gal ChechikNVIDIA, Bar Ilan UniversityDirección de correo verificada de biu.ac.il
Mark HorowitzProfessor of Electrical Engineering and Computer ScienceDirección de correo verificada de ee.stanford.edu
Farshid Moussavialumni.stanford.eduDirección de correo verificada de alumni.stanford.edu
Dale SchuurmansUniversity of Alberta, Google DeepMindDirección de correo verificada de cs.ualberta.ca
Ofer MeshiResearch Scientist at GoogleDirección de correo verificada de google.com
Iftach NachmanAssociate Professor, Tel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Daniel TarlowResearch Scientist, Google DeepMind - MontrealDirección de correo verificada de cs.toronto.edu

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Gal Elidan

Hebrew University / Google

Dirección de correo verificada de huji.ac.il - Página principal

Machine Learning Graphical Models Structure Learning Copulas


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	526	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	380	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
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	169	2008
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller Advances in Neural Information Processing Systems 13, 2000	168	2000
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	162	2021
Copula bayesian networks G Elidan Advances in neural information processing systems 23, 2010	159	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	154	2008
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	141	2017
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	136	2005
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	134	2022
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
Net-dnf: Effective deep modeling of tabular data L Katzir, G Elidan, R El-Yaniv International conference on learning representations, 2020	103	2020
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
Copulas in machine learning G Elidan Copulae in Mathematical and Quantitative Finance: Proceedings of the …, 2013	95	2013
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 2013	91	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	70	2023

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