Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors. - Mariya Ishteva; Lieven De Lathauwer; Pierre-Antoine Absil; Sabine Van Huffel (Numer. Algorithms, 2009)

A Geometric Newton Method for Oja's Vector Field. - Pierre-Antoine Absil; Mariya Ishteva; Lieven De Lathauwer; Sabine Van Huffel (Neural Comput., 2009)

A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors. - Pierre B. Borckmans; Mariya Ishteva; Pierre-Antoine Absil (ANTS Conference, 2010)

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme. - Mariya Ishteva; Pierre-Antoine Absil; Sabine Van Huffel; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2011)

Bounded Matrix Low Rank Approximation. - Ramakrishnan Kannan; Mariya Ishteva; Haesun Park (ICDM, 2012)

A Spectral Algorithm for Latent Junction Trees. - Ankur P. Parikh; Le Song; Mariya Ishteva; Gabi Teodoru; Eric P. Xing (UAI, 2012)

Unfolding Latent Tree Structures using 4th Order Tensors. - Mariya Ishteva; Haesun Park; Le Song (ICML (3), 2013)

Hierarchical Tensor Decomposition of Latent Tree Graphical Models. - Le Song; Mariya Ishteva; Ankur P. Parikh; Eric P. Xing; Haesun Park (ICML (3), 2013)

Regularized structured low-rank approximation with applications. - Mariya Ishteva; Konstantin Usevich; Ivan Markovsky (CoRR, 2013)

Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors. - Mariya Ishteva; Pierre-Antoine Absil; Paul Van Dooren (SIAM J. Matrix Anal. Appl., 2013)

Decoupling Multivariate Polynomials Using First-Order Information. - Philippe Dreesen; Mariya Ishteva; Johan Schoukens (CoRR, 2014)

Bounded matrix factorization for recommender system. - Ramakrishnan Kannan; Mariya Ishteva; Haesun Park (Knowl. Inf. Syst., 2014)

Factorization Approach to Structured Low-Rank Approximation with Applications. - Mariya Ishteva; Konstantin Usevich; Ivan Markovsky (SIAM J. Matrix Anal. Appl., 2014)

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. - Philippe Dreesen; Thomas Goossens; Mariya Ishteva; Lieven De Lathauwer; Johan Schoukens (LVA/ICA, 2015)

Tensors and Latent Variable Models. - Mariya Ishteva (LVA/ICA, 2015)

Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. - Philippe Dreesen; Mariya Ishteva; Johan Schoukens (SIAM J. Matrix Anal. Appl., 2015)

Weighted tensor decomposition for approximate decoupling of multivariate polynomials. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (CoRR, 2016)

Nonlinear system identification: Finding structure in nonlinear black-box models. - Philippe Dreesen; Koen Tiels; Mariya Ishteva; Johan Schoukens (CAMSAP, 2017)

Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. - Philippe Dreesen; David T. Westwick; Johan Schoukens; Mariya Ishteva (LVA/ICA, 2017)

An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (LVA/ICA, 2017)

Decoupling Multivariate Functions Using Second-Order Information and Tensors. - Philippe Dreesen; Jeroen De Geeter; Mariya Ishteva (LVA/ICA, 2018)

Approximate decoupling of multivariate polynomials using weighted tensor decomposition. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (Numer. Linear Algebra Appl., 2018)

Decoupling multivariate polynomials: Interconnections between tensorizations. - Konstantin Usevich; Philippe Dreesen; Mariya Ishteva (J. Comput. Appl. Math., 2020)

Solving Systems of Polynomial Equations - A Tensor Approach. - Mariya Ishteva; Philippe Dreesen (LSSC, 2021)

Compressing Neural Networks with Two-Layer Decoupling. - Joppe De Jonghe; Konstantin Usevich; Philippe Dreesen; Mariya Ishteva (CAMSAP, 2023)

Parameter Estimation of Multiple Poles by Subspace-Based Method. - Prabhu Vijayan; Philippe Dreesen; Ivan Markovsky; Mariya Ishteva (CoDIT, 2023)

Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. - Konstantin Usevich; Yassine Zniyed; Mariya Ishteva; Philippe Dreesen; André L. F. de Almeida (EUSIPCO, 2023)

Enhancing Block-Oriented System Identification Using Prior-Informed Volterra Kernels. - Prabhu Vijayan; Philippe Dreesen; John Lataire; Mariya Ishteva (IEEE Trans. Instrum. Meas., 2025)

Non-parametric B-spline decoupling of multivariate functions. - Joppe De Jonghe; Mariya Ishteva (CoRR, 2025)