Mariya Ishteva

According to our database, Mariya Ishteva authored at least 27 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps.

Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida

Proceedings of the 31st European Signal Processing Conference, 2023

Parameter Estimation of Multiple Poles by Subspace-Based Method.

Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva

Proceedings of the 9th International Conference on Control, 2023

Compressing Neural Networks with Two-Layer Decoupling.

Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2021

Solving Systems of Polynomial Equations - A Tensor Approach.

Mariya Ishteva, Philippe Dreesen

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

Decoupling multivariate polynomials: Interconnections between tensorizations.

Konstantin Usevich, Philippe Dreesen, Mariya Ishteva

J. Comput. Appl. Math., 2020

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 Functions Using Second-Order Information and Tensors.

Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition.

Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.

Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Nonlinear system identification: Finding structure in nonlinear black-box models.

Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Weighted tensor decomposition for approximate decoupling of multivariate polynomials.

Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens

CoRR, 2016

2015

Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions.

Philippe Dreesen, Mariya Ishteva, Johan Schoukens

SIAM J. Matrix Anal. Appl., 2015

Tensors and Latent Variable Models.

Mariya Ishteva

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition.

Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Factorization Approach to Structured Low-Rank Approximation with Applications.

Mariya Ishteva, Konstantin Usevich, Ivan Markovsky

SIAM J. Matrix Anal. Appl., 2014

Bounded matrix factorization for recommender system.

Ramakrishnan Kannan, Mariya Ishteva, Haesun Park

Knowl. Inf. Syst., 2014

Decoupling Multivariate Polynomials Using First-Order Information.

Philippe Dreesen, Mariya Ishteva, Johan Schoukens

CoRR, 2014

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

Regularized structured low-rank approximation with applications.

Mariya Ishteva, Konstantin Usevich, Ivan Markovsky

CoRR, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.

Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park

Proceedings of the 30th International Conference on Machine Learning, 2013

Unfolding Latent Tree Structures using 4th Order Tensors.

Mariya Ishteva, Haesun Park, Le Song

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

A Spectral Algorithm for Latent Junction Trees.

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Bounded Matrix Low Rank Approximation.

Ramakrishnan Kannan, Mariya Ishteva, Haesun Park

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

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

2010

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

Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009

A Geometric Newton Method for Oja's Vector Field.

Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel

Neural Comput., 2009

Differential-geometric Newton method for the best rank-(<i>R</i>₁, <i>R</i>₂, <i>R</i>₃) approximation of tensors.

Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel

Numer. Algorithms, 2009