Mariya Ishteva

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Lieven De LathauwerKULeuvenVerified email at kuleuven.be
Sabine Van HuffelKU LeuvenVerified email at esat.kuleuven.be
Philippe DreesenKU LeuvenVerified email at esat.kuleuven.be
P.-A. AbsilICTEAM, EPL, UCLouvainVerified email at uclouvain.be
Schoukens JohanVrije Universiteit BrusselVerified email at vub.be
Ivan MarkovskyVrije Universiteit Brussel (VUB)Verified email at vub.be
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Konstantin UsevichCNRS and Université de Lorraine, Nancy, FranceVerified email at statmod.ru
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Ankur P ParikhStaff Research Scientist at GoogleVerified email at google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
David WestwickUniversity of CalgaryVerified email at ucalgary.ca
Paul Van DoorenProfessor of Mathematical Engineering, Université catholique de LouvainVerified email at uclouvain.be
Koen TielsAssistant Professor, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Barry L. DrakeSenior Research Scientist, Georgia Tech Research Institute, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Yves RolainVUB dept ELECVerified email at vub.ac.be
Francesco FerrantiVrije Universiteit Brussel, BelgiumVerified email at vub.be
Thomas GoossensStanford UniversityVerified email at stanford.edu
Rodolphe SepulchreProfessor of Engineering, University of CambridgeVerified email at eng.cam.ac.uk
Maarten SchoukensAssistant Professor, Eindhoven University of Technology (TU/e)Verified email at tue.nl

Mariya Ishteva

KU Leuven

Verified email at kuleuven.be - Homepage

numerical linear algebra multilinear algebra machine learning data mining


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Best low multilinear rank approximation of higher-order tensors, based on the Riemannian trust-region scheme M Ishteva, PA Absil, S Van Huffel, L De Lathauwer SIAM Journal on Matrix Analysis and Applications 32 (1), 115-135, 2011	129	2011
Properties and applications of the Caputo fractional operator M Ishteva MSc. Thesis, Dept. of Math., Universität Karlsruhe (TH), Germany, 2005	116	2005
Differential-geometric Newton method for the best rank-(R 1, R 2, R 3) approximation of tensors M Ishteva, L De Lathauwer, PA Absil, S Van Huffel Numerical Algorithms 51 (2), 179-194, 2009	81	2009
Bounded matrix factorization for recommender system R Kannan, M Ishteva, H Park Knowledge and information systems 39 (3), 491-511, 2014	69	2014
Decoupling multivariate polynomials using first-order information and tensor decompositions P Dreesen, M Ishteva, J Schoukens SIAM Journal on Matrix analysis and Applications 36 (2), 864-879, 2015	68	2015
On the Caputo operator of fractional calculus and C-Laguerre functions M Ishteva, L Boyadjiev, R Scherer Mathematical Sciences Research Journal 9 (6), 161, 2005	59	2005
Jacobi algorithm for the best low multilinear rank approximation of symmetric tensors M Ishteva, PA Absil, P Van Dooren SIAM Journal on Matrix Analysis and Applications 34 (2), 651-672, 2013	55	2013
Dimensionality reduction for higher-order tensors: algorithms and applications M Ishteva, L De Lathauwer, P Absil, S Van Huffel International Journal of Pure and Applied Mathematics 42 (3), 337-343, 2008	40	2008
Factorization approach to structured low-rank approximation with applications M Ishteva, K Usevich, I Markovsky SIAM Journal on Matrix Analysis and Applications 35 (3), 1180-1204, 2014	38	2014
Hierarchical tensor decomposition of latent tree graphical models L Song, M Ishteva, A Parikh, E Xing, H Park The 30th International Conference on Machine Learning (ICML 2013), 2013	37	2013
A geometric Newton method for Oja's vector field PA Absil, M Ishteva, L De Lathauwer, S Van Huffel Neural computation 21 (5), 1415-1433, 2009	35	2009
A spectral algorithm for latent junction trees AP Parikh, L Song, M Ishteva, G Teodoru, EP Xing arXiv preprint arXiv:1210.4884, 2012	31	2012
Numerical methods for the best low multilinear rank approximation of higher-order tensors M Ishteva Ph. D. thesis, Department of Electrical Engineering, Katholieke Universiteit …, 2009	27	2009
Bounded Matrix Low Rank Approximation R Kannan, M Ishteva, H Park	26*	2012
Tucker compression and local optima M Ishteva, PA Absil, S Van Huffel, L De Lathauwer Chemometrics and Intelligent Laboratory Systems 106 (1), 57-64, 2011	26	2011
Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity M Schoukens, K Tiels, M Ishteva, J Schoukens	23	2014
Unfolding Latent Tree Structures using 4th Order Tensors M Ishteva, H Park, L Song Proceedings of The 30th International Conference on Machine Learning (ICML …, 2013	19	2013
A modified particle swarm optimization algorithm for the best low multilinear rank approximation of higher-order tensors PB Borckmans, M Ishteva, PA Absil International Conference on Swarm Intelligence, 13-23, 2010	15	2010
On the C-Laguerre functions M Ishteva, L Boyadjiev COMPTES RENDUS-ACADEMIE BULGARE DES SCIENCES 58 (9), 1019, 2005	11	2005
Decoupling multivariate polynomials: Interconnections between tensorizations K Usevich, P Dreesen, M Ishteva Journal of Computational and Applied Mathematics 363, 22-34, 2020	10	2020

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