Mariya Ishteva

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Lieven De LathauwerKULeuvenVerified email at kuleuven.be
Philippe DreesenMaastricht UniversityVerified email at maastrichtuniversity.nl
Sabine Van HuffelKU LeuvenVerified email at esat.kuleuven.be
P.-A. AbsilICTEAM, EPL, UCLouvainVerified email at uclouvain.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 cnrs.fr
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Ankur P ParikhStaff Research Scientist at Google DeepMindVerified 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
Ramakrishnan KannanOak Ridge National LaboratoryVerified email at ornl.gov
Johan De GreefAssociate Professor, KU LeuvenVerified email at kuleuven.be
Wouter MeynendonckxKU LeuvenVerified email at kuleuven.be
David WestwickUniversity of CalgaryVerified email at ucalgary.ca
Paul Van DoorenProfessor of Mathematical Engineering, Université catholique de LouvainVerified email at uclouvain.be
Koen TielsLecturer, Eindhoven University of Technology (TU/e)Verified email at tue.nl
Yves RolainVUB dept ELECVerified email at vub.ac.be
Francesco FerrantiVrije Universiteit Brussel, BelgiumVerified email at vub.be
Barry L. DrakeSenior Research Scientist, Georgia Tech Research Institute, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Maarten SchoukensAssociate Professor, Eindhoven University of Technology (TU/e)Verified email at tue.nl
André L. F. de AlmeidaUniversidade Federal do CearáVerified email at gtel.ufc.br

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	150	2011
Properties and applications of the Caputo fractional operator M Ishteva MSc. Thesis, Dept. of Math., Universität Karlsruhe (TH), Germany, 2005	149	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	88	2009
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	82	2015
Bounded matrix factorization for recommender system R Kannan, M Ishteva, H Park Knowledge and information systems 39, 491-511, 2014	78	2014
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	74	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	70	2013
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	43	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	43	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	42	2008
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	39	2009
A spectral algorithm for latent junction trees AP Parikh, L Song, M Ishteva, G Teodoru, EP Xing arXiv preprint arXiv:1210.4884, 2012	32	2012
Bounded Matrix Low Rank Approximation R Kannan, M Ishteva, H Park	29*	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	27	2011
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	26	2009
Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity M Schoukens, K Tiels, M Ishteva, J Schoukens	25	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 Swarm Intelligence: 7th International Conference, ANTS 2010, Brussels …, 2010	19	2010
Decoupling multivariate polynomials: Interconnections between tensorizations K Usevich, P Dreesen, M Ishteva Journal of Computational and Applied Mathematics 363, 22-34, 2020	12	2020
A Tensor-Based Extension for the Multi-Line TRL Calibration Y Rolain, M Ishteva, E Van Nechel, F Ferranti IEEE, 2016	11	2016

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