Mariya Ishteva

35 papers A* 1A 1C 1Journal 19Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Subspace Modeling With Functional Tucker Decomposition.
CoRR
Noah Steidle, Joppe De Jonghe, Mariya Ishteva
2025 J jnl
Enhancing Block-Oriented System Identification Using Prior-Informed Volterra Kernels.
IEEE Trans. Instrum. Meas.
Prabhu Vijayan, Philippe Dreesen, John Lataire, Mariya Ishteva
2025 — conf
Non-Parametric B-Spline Decoupling of Multivariate Functions.
EUSIPCO
Joppe De Jonghe, Mariya Ishteva
2025 J jnl
Non-parametric B-spline decoupling of multivariate functions.
CoRR
Joppe De Jonghe, Mariya Ishteva
2023 — conf
Compressing Neural Networks with Two-Layer Decoupling.
CAMSAP
Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2023 C conf
Parameter Estimation of Multiple Poles by Subspace-Based Method.
CoDIT
Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva
2023 — conf
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps.
EUSIPCO
Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida
2021 — conf
Solving Systems of Polynomial Equations - A Tensor Approach.
LSSC
Mariya Ishteva, Philippe Dreesen
2020 J jnl
Decoupling multivariate polynomials: Interconnections between tensorizations.
J. Comput. Appl. Math.
Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2018 J jnl
Approximate decoupling of multivariate polynomials using weighted tensor decomposition.
Numer. Linear Algebra Appl.
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2018 — conf
Decoupling Multivariate Functions Using Second-Order Information and Tensors.
LVA/ICA
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
2018 J jnl
Decoupling multivariate functions using second-order information and tensors.
CoRR
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
2017 — conf
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition.
LVA/ICA
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2017 — conf
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.
LVA/ICA
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
2017 — conf
Nonlinear system identification: Finding structure in nonlinear black-box models.
CAMSAP
Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens
2016 J jnl
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.
CoRR
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
2016 J jnl
Weighted tensor decomposition for approximate decoupling of multivariate polynomials.
CoRR
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2015 — conf
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition.
LVA/ICA
Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
2015 J jnl
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions.
SIAM J. Matrix Anal. Appl.
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2015 — conf
Tensors and Latent Variable Models.
LVA/ICA
Mariya Ishteva
2014 J jnl
Bounded matrix factorization for recommender system.
Knowl. Inf. Syst.
Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2014 J jnl
Decoupling Multivariate Polynomials Using First-Order Information.
CoRR
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2014 J jnl
Factorization Approach to Structured Low-Rank Approximation with Applications.
SIAM J. Matrix Anal. Appl.
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2013 — conf
Hierarchical Tensor Decomposition of Latent Tree Graphical Models.
ICML (3)
Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park
2013 J jnl
Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors.
SIAM J. Matrix Anal. Appl.
Mariya Ishteva, Pierre-Antoine Absil, Paul Van Dooren
2013 J jnl
Regularized structured low-rank approximation with applications.
CoRR
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2013 — conf
Unfolding Latent Tree Structures using 4th Order Tensors.
ICML (3)
Mariya Ishteva, Haesun Park, Le Song
2012 J jnl
A Spectral Algorithm for Latent Junction Trees
CoRR
Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
2012 A conf
A Spectral Algorithm for Latent Junction Trees.
UAI
Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
2012 A* conf
Bounded Matrix Low Rank Approximation.
ICDM
Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2012 J jnl
Unfolding Latent Tree Structures using 4th Order Tensors
CoRR
Mariya Ishteva, Haesun Park, Le Song
2011 J jnl
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme.
SIAM J. Matrix Anal. Appl.
Mariya Ishteva, Pierre-Antoine Absil, Sabine Van Huffel, Lieven De Lathauwer
2010 — conf
A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors.
ANTS Conference
Pierre B. Borckmans, Mariya Ishteva, Pierre-Antoine Absil
2009 J jnl
A Geometric Newton Method for Oja's Vector Field.
Neural Comput.
Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel
2009 J jnl
Differential-geometric Newton method for the best rank-(
Numer. Algorithms
Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel