Philippe Dreesen

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 20

Top Topics

Multivariate Polynomials

Nonlinear Models

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva
Parameter Estimation of Multiple Poles by Subspace-Based Method. CoDIT (2023)
Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
Compressing Neural Networks with Two-Layer Decoupling. CAMSAP (2023)
Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO (2023)
Mariya Ishteva, Philippe Dreesen
Solving Systems of Polynomial Equations - A Tensor Approach. LSSC (2021)
Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen
Data-Driven Simulation for NARX Systems. EUSIPCO (2021)
Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. 363 (2020)
Philippe Dreesen, Ivan Markovsky
Data-driven Simulation Using the Nuclear Norm Heuristic. ICASSP (2019)
Jan Decuyper, Philippe Dreesen, Johan Schoukens, Mark Runacres, Koen Tiels
Decoupling Multivariate Polynomials for Nonlinear State-Space Models. IEEE Control. Syst. Lett. 3 (3) (2019)
Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record. CoRR (2018)
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
Decoupling Multivariate Functions Using Second-Order Information and Tensors. LVA/ICA (2018)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Approximate decoupling of multivariate polynomials using weighted tensor decomposition. Numer. Linear Algebra Appl. 25 (2) (2018)
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
Decoupling multivariate functions using second-order information and tensors. CoRR (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91 (12) (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional Realization Theory and Polynomial System Solving. CoRR (2018)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. LVA/ICA (2017)
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. LVA/ICA (2017)
Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noël, Johan Schoukens
Parameter reduction in nonlinear state-space identification of hysteresis. CoRR (2017)
Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens
Nonlinear system identification: Finding structure in nonlinear black-box models. CAMSAP (2017)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Weighted tensor decomposition for approximate decoupling of multivariate polynomials. CoRR (2016)
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. CoRR (2016)
Philippe Dreesen, Maarten Schoukens, Koen Tiels, Johan Schoukens
Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach. I2MTC (2015)
Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA (2015)
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. SIAM J. Matrix Anal. Appl. 36 (2) (2015)
Kim Batselier, Philippe Dreesen, Bart De Moor
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267 (2014)
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Decoupling Multivariate Polynomials Using First-Order Information. CoRR (2014)
Kim Batselier, Philippe Dreesen, Bart De Moor
and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
Kim Batselier, Philippe Dreesen, Bart De Moor
The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Anal. Appl. 34 (1) (2013)
Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
Joint Regression and Linear Combination of Time Series for Optimal Prediction. ESANN (2012)
Philippe Dreesen, Kim Batselier, Bart De Moor
Weighted/Structured Total Least Squares problems and polynomial system solving. ESANN (2012)
Kim Batselier, Philippe Dreesen, Bart De Moor
maximum likelihood estimation and polynomial system solving. ESANN (2012)