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ORCIDPhilippe Dreesen
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2020 – today
- 2024
[c16]Spriha Joshi, Philippe Dreesen, Pietro Bonizzi, Joël M. H. Karel, Ralf Peeters, Martijn Boussé:
Novel Tensor-based Singular Spectrum Decomposition. EUSIPCO 2024: 1327-1331- 2023
- [c15]Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen
, Mariya Ishteva:
Compressing Neural Networks with Two-Layer Decoupling. CAMSAP 2023: 226-230 - [c14]Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva:
Parameter Estimation of Multiple Poles by Subspace-Based Method. CoDIT 2023: 1948-1953 - [c13]Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida:
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO 2023: 655-659 - 2021
- [c12]Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen:
Data-Driven Simulation for NARX Systems. EUSIPCO 2021: 1055-1059 - [c11]Mariya Ishteva, Philippe Dreesen:
Solving Systems of Polynomial Equations - A Tensor Approach. LSSC 2021: 333-341 - 2020
- [j8]Konstantin Usevich, Philippe Dreesen, Mariya Ishteva:
Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. 363: 22-34 (2020)
2010 – 2019
- 2019
- [j7]Jan Decuyper, Philippe Dreesen, Johan Schoukens, Mark Runacres, Koen Tiels:
Decoupling Multivariate Polynomials for Nonlinear State-Space Models. IEEE Control. Syst. Lett. 3(3): 745-750 (2019) - [c10]Philippe Dreesen, Ivan Markovsky:
Data-driven Simulation Using the Nuclear Norm Heuristic. ICASSP 2019: 8207-8211 - 2018
- [j6]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91(12): 2692-2704 (2018) - [j5]Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Approximate decoupling of multivariate polynomials using weighted tensor decomposition. Numer. Linear Algebra Appl. 25(2) (2018) - [c9]Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva:
Decoupling Multivariate Functions Using Second-Order Information and Tensors. LVA/ICA 2018: 79-88 - [i7]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional Realization Theory and Polynomial System Solving. CoRR abs/1805.02253 (2018) - [i6]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 abs/1805.06252 (2018) - [i5]Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva:
Decoupling multivariate functions using second-order information and tensors. CoRR abs/1805.08479 (2018) - 2017
- [c8]Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens:
Nonlinear system identification: Finding structure in nonlinear black-box models. CAMSAP 2017: 1-4 - [c7]Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva:
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. LVA/ICA 2017: 16-25 - [c6]Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. LVA/ICA 2017: 111-120 - [i4]Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noël, Johan Schoukens:
Parameter reduction in nonlinear state-space identification of hysteresis. CoRR abs/1705.00178 (2017) - 2016
- [i3]Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Weighted tensor decomposition for approximate decoupling of multivariate polynomials. CoRR abs/1601.07800 (2016) - [i2]Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva:
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. CoRR abs/1609.08063 (2016) - 2015
- [j4]Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. SIAM J. Matrix Anal. Appl. 36(2): 864-879 (2015) - [c5]Philippe Dreesen, Maarten Schoukens, Koen Tiels, Johan Schoukens:
Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach. I2MTC 2015: 987-992 - [c4]Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens:
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA 2015: 14-21 - 2014
- [j3]Kim Batselier, Philippe Dreesen, Bart De Moor:
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267: 20-32 (2014) - [j2]Kim Batselier, Philippe Dreesen, Bart De Moor:
The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35(4): 1242-1264 (2014) - [i1]Philippe Dreesen, Mariya Ishteva, Johan Schoukens:
Decoupling Multivariate Polynomials Using First-Order Information. CoRR abs/1410.4060 (2014) - 2013
- [j1]Kim Batselier, Philippe Dreesen, Bart De Moor:
The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Anal. Appl. 34(1): 102-125 (2013) - 2012
- [c3]Kim Batselier, Philippe Dreesen, Bart De Moor:
maximum likelihood estimation and polynomial system solving. ESANN 2012 - [c2]Philippe Dreesen, Kim Batselier, Bart De Moor:
Weighted/Structured Total Least Squares problems and polynomial system solving. ESANN 2012 - [c1]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
Coauthor Index
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