Gal Elidan

Citeras av

	Alla	Sedan 2016
Citat	3573	1010
h-index	22	16
i10-index	35	22

280

140

210

20012002200320042005200620072008200920102011201220132014201520162017201820192020202110 36 66 117 132 153 184 184 204 267 212 264 232 227 225 219 201 180 178 204 27

Medförfattare

Nir FriedmanProfessor of Computer Science and Life Sciences, Hebrew UniversityVerifierad e-postadress på mail.huji.ac.il
Daphne KollerCEO and Founder, insitroVerifierad e-postadress på insitro.com
Geremy HeitzGoogle Inc.Verifierad e-postadress på google.com
Ian McGrawGoogle Inc.Verifierad e-postadress på google.com
Stephen GouldAustralian National UniversityVerifierad e-postadress på anu.edu.au
Ami WieselHebrew University of Jerusalem, IsraelVerifierad e-postadress på mail.huji.ac.il
Ariel JaimovichPostdoc in Biochemistry, Stanford universityVerifierad e-postadress på stanford.edu
Elad EbanGoogleVerifierad e-postadress på google.com
Tommy KaplanProfessor of Computer Science and Computational Biology, The Hebrew UniversityVerifierad e-postadress på cs.huji.ac.il
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerifierad e-postadress på cs.ualberta.ca
Pieter AbbeelUC Berkeley | Covariant.AIVerifierad e-postadress på cs.berkeley.edu
Gal ChechikBar Ilan University, NVIDIAVerifierad e-postadress på biu.ac.il
Mark HorowitzProfessor of Electrical Engineering and Computer ScienceVerifierad e-postadress på ee.stanford.edu
Iftach NachmanAssistant professor of biology, Tel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Ofer MeshiResearch Scientist at GoogleVerifierad e-postadress på google.com
Amir GlobersonTel Aviv UniversityVerifierad e-postadress på post.tau.ac.il
Israel NelkenHebrew UniversityVerifierad e-postadress på mail.huji.ac.il
Roi LivniTel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Martin MladenovGoogle ResearchVerifierad e-postadress på google.com
Craig BoutilierPrincipal Scientist, GoogleVerifierad e-postadress på google.com

Gal Elidan

Hebrew University / Google

Verifierad e-postadress på huji.ac.il - Startsida

Machine Learning Graphical Models Structure Learning Copulas


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Inferring subnetworks from perturbed expression profiles D Pe’er, A Regev, G Elidan, N Friedman Bioinformatics 17 (suppl_1), S215-S224, 2001	718	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	455	2008
Residual belief propagation: Informed scheduling for asynchronous message passing G Elidan, I McGraw, D Koller arXiv preprint arXiv:1206.6837, 2012	323	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	293	2003
Discovering hidden variables: A structure-based approach G Elidan, N Lotner, N Friedman, D Koller NIPS 13, 479-485, 2000	145	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	143	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	129	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	129	2008
Copula Bayesian Networks. G Elidan NIPS, 559-567, 2010	116	2010
Learning Hidden Variable Networks: The Information Bottleneck Approach. G Elidan, N Friedman, DM Chickering Journal of Machine Learning Research 6 (1), 2005	116	2005
Data perturbation for escaping local maxima in learning G Elidan, M Ninio, N Friedman, D Schuurmans AAAI/IAAI, 132-139, 2002	99	2002
Using combinatorial optimization within max-product belief propagation J Elidan, D Koller Advances in neural information processing systems 19, 369, 2007	97	2007
Learning the dimensionality of hidden variables G Elidan, N Friedman arXiv preprint arXiv:1301.2269, 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	79	2006
Copulas in machine learning G Elidan Copulae in mathematical and quantitative finance, 39-60, 2013	75	2013
Learning Bounded Treewidth Bayesian Networks. G Elidan, S Gould Journal of Machine Learning Research 9 (12), 2008	75	2008
Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller International journal of computer vision 84 (1), 40-62, 2009	64	2009
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	58	2017
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	52	2007
Learning object shape: From drawings to images G Elidan, G Heitz, D Koller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	47	2006

Systemet kan inte utföra åtgärden just nu. Försök igen senare.

Artiklar 1–20

Citat per år

Dubblettcitat

Sammanfogade citat

Lägg till medförfattareMedförfattare

Ladda upp PDF

Följ den här författaren

Citeras av

Medförfattare