Mariya Ishteva

发表

Multi-line TRL revisited

Yves Rolain, Francesco Ferranti, Mariya Ishteva, 2015, 2015 85th Microwave Measurement Conference (ARFTG).

A Geometric Newton Method for Oja's Vector Field

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Neural Computation.

Approximate decoupling of multivariate polynomials using weighted tensor decomposition

Johan Schoukens, Philippe Dreesen, Mariya Ishteva, 2018, Numer. Linear Algebra Appl..

Unfolding Latent Tree Structures using 4th Order Tensors

Le Song, Haesun Park, Mariya Ishteva, 2012, ICML.

Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity

Johan Schoukens, Koen Tiels, Maarten Schoukens, 2014 .

A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors

Pierre-Antoine Absil, Mariya Ishteva, Pierre B. Borckmans, 2010, ANTS Conference.

Weighted tensor decomposition for approximate decoupling of multivariate polynomials pdf

Johan Schoukens, Philippe Dreesen, Mariya Ishteva, 2016, ArXiv.

Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions

Johan Schoukens, Philippe Dreesen, Mariya Ishteva, 2014, SIAM J. Matrix Anal. Appl..

Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Numerical Algorithms.

Bounded Matrix Low Rank Approximation

Haesun Park, Ramakrishnan Kannan, Mariya Ishteva, 2012, 2012 IEEE 12th International Conference on Data Mining.

Tensor- versus matrix-based algorithms in exponential data fitting (abstract)

Sabine Van Huffel, Pierre-Antoine Absil, Mariya Ishteva, 2010 .

A Spectral Algorithm for Latent Junction Trees pdf

Le Song, Eric P. Xing, Ankur P. Parikh, 2012, UAI.

A Tensor-Based Extension for the Multi-Line TRL Calibration

Yves Rolain, Francesco Ferranti, Mariya Ishteva, 2016, IEEE Transactions on Microwave Theory and Techniques.

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011, SIAM J. Matrix Anal. Appl..

Hierarchical Tensor Decomposition of Latent Tree Graphical Models

Le Song, Eric P. Xing, Haesun Park, 2013, ICML.

Factorization Approach to Structured Low-Rank Approximation with Applications

Ivan Markovsky, Konstantin Usevich, Mariya Ishteva, 2014, SIAM J. Matrix Anal. Appl..

Decoupling Multivariate Polynomials Using First-Order Information pdf

Johan Schoukens, Philippe Dreesen, Mariya Ishteva, 2014, ArXiv.

An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition

Johan Schoukens, Philippe Dreesen, Mariya Ishteva, 2017, LVA/ICA.

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

Johan Schoukens, David T. Westwick, Philippe Dreesen, 2016, LVA/ICA.

Decoupling Multivariate Functions Using Second-Order Information and Tensors

Philippe Dreesen, Mariya Ishteva, Jeroen De Geeter, 2018, LVA/ICA.

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

Lieven De Lathauwer, Johan Schoukens, Philippe Dreesen, 2015, LVA/ICA.

Tensors and Latent Variable Models

Mariya Ishteva, 2015, LVA/ICA.

Decoupling multivariate polynomials: Interconnections between tensorizations

Konstantin Usevich, Philippe Dreesen, Mariya Ishteva, 2020, J. Comput. Appl. Math..

Regularized structured low-rank approximation with applications pdf

Ivan Markovsky, Konstantin Usevich, Mariya Ishteva, 2013, ArXiv.

Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors

Paul Van Dooren, Pierre-Antoine Absil, Mariya Ishteva, 2013, SIAM J. Matrix Anal. Appl..

Bounded matrix factorization for recommender system

Haesun Park, Ramakrishnan Kannan, Mariya Ishteva, 2013, Knowledge and Information Systems.

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

Johan Schoukens, Koen Tiels, Philippe Dreesen, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Parameter Estimation of Parallel Wiener-Hammerstein Systems by Decoupling their Volterra Representations

Philippe Dreesen, Mariya Ishteva, 2021, IFAC-PapersOnLine.

Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems

Konstantin Usevich, Philippe Dreesen, Mariya Ishteva, 2021, IFAC-PapersOnLine.

Tucker compression and local optima

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011 .

Best multilinear rank approximation of tensors : a trust-region algorithm and local mimina (Best poster award)

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2009 .