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Mariya Ishteva
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- affiliation: KU Leuven, Belgium
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2020 – today
- 2023
- [c15]Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen
, Mariya Ishteva:
Compressing Neural Networks with Two-Layer Decoupling. CAMSAP 2023: 226-230 - [c14]Prabhu Vijayan
Parameter Estimation of Multiple Poles by Subspace-Based Method. CoDIT 2023: 1948-1953 - [c13]Konstantin Usevich, Yassine Zniyed
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO 2023: 655-659 - 2021
- [c12]Mariya Ishteva
Solving Systems of Polynomial Equations - A Tensor Approach. LSSC 2021: 333-341 - 2020
- [j9]Konstantin Usevich
Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. 363: 22-34 (2020)
2010 – 2019
- 2018
- [j8]Gabriel Hollander
Approximate decoupling of multivariate polynomials using weighted tensor decomposition. Numer. Linear Algebra Appl. 25(2) (2018) - [c11]Philippe Dreesen, Jeroen De Geeter
Decoupling Multivariate Functions Using Second-Order Information and Tensors. LVA/ICA 2018: 79-88 - [i7]Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva:
Decoupling multivariate functions using second-order information and tensors. CoRR abs/1805.08479 (2018) - 2017
- [c10]Philippe Dreesen, Koen Tiels, Mariya Ishteva
Nonlinear system identification: Finding structure in nonlinear black-box models. CAMSAP 2017: 1-4 - [c9]Philippe Dreesen, David T. Westwick
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. LVA/ICA 2017: 16-25 - [c8]Gabriel Hollander, Philippe Dreesen, Mariya Ishteva
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. LVA/ICA 2017: 111-120 - 2016
- [i6]Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Weighted tensor decomposition for approximate decoupling of multivariate polynomials. CoRR abs/1601.07800 (2016) - [i5]Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva:
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. CoRR abs/1609.08063 (2016) - 2015
- [j7]Philippe Dreesen, Mariya Ishteva
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. SIAM J. Matrix Anal. Appl. 36(2): 864-879 (2015) - [c7]Philippe Dreesen, Thomas Goossens, Mariya Ishteva
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA 2015: 14-21 - [c6]Mariya Ishteva
Tensors and Latent Variable Models. LVA/ICA 2015: 49-55 - 2014
- [j6]Ramakrishnan Kannan, Mariya Ishteva
Bounded matrix factorization for recommender system. Knowl. Inf. Syst. 39(3): 491-511 (2014) - [j5]Mariya Ishteva
Factorization Approach to Structured Low-Rank Approximation with Applications. SIAM J. Matrix Anal. Appl. 35(3): 1180-1204 (2014) - [i4]Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Decoupling Multivariate Polynomials Using First-Order Information. CoRR abs/1410.4060 (2014) - 2013
- [j4]Mariya Ishteva
Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 34(2): 651-672 (2013) - [c5]Mariya Ishteva, Haesun Park, Le Song:
Unfolding Latent Tree Structures using 4th Order Tensors. ICML (3) 2013: 316-324 - [c4]Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park:
Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) 2013: 334-342 - [i3]Mariya Ishteva, Konstantin Usevich, Ivan Markovsky:
Regularized structured low-rank approximation with applications. CoRR abs/1308.1827 (2013) - 2012
- [c3]Ramakrishnan Kannan, Mariya Ishteva
Bounded Matrix Low Rank Approximation. ICDM 2012: 319-328 - [c2]Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing:
A Spectral Algorithm for Latent Junction Trees. UAI 2012: 675-684 - [i2]Mariya Ishteva, Haesun Park, Le Song:
Unfolding Latent Tree Structures using 4th Order Tensors. CoRR abs/1210.1258 (2012) - [i1]Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing:
A Spectral Algorithm for Latent Junction Trees. CoRR abs/1210.4884 (2012) - 2011
- [j3]Mariya Ishteva
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme. SIAM J. Matrix Anal. Appl. 32(1): 115-135 (2011) - 2010
- [c1]Pierre B. Borckmans, Mariya Ishteva
A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors. ANTS Conference 2010: 13-23
2000 – 2009
- 2009
- [j2]Mariya Ishteva
Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors. Numer. Algorithms 51(2): 179-194 (2009) - [j1]Pierre-Antoine Absil, Mariya Ishteva
A Geometric Newton Method for Oja's Vector Field. Neural Comput. 21(5): 1415-1433 (2009)
Coauthor Index
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