Philippe Dreesen

35 papers B 3C 1Misc 1Journal 17Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
Beta-Divergence-Based Recurrence Plots for Audio Time-Series Analysis.
EUSIPCO
Elena Deckert, Philippe Dreesen, Norbert Marwan, Martijn Boussé
2025 J jnl
Enhancing Block-Oriented System Identification Using Prior-Informed Volterra Kernels.
IEEE Trans. Instrum. Meas.
Prabhu Vijayan, Philippe Dreesen, John Lataire, Mariya Ishteva
2025 J jnl
Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block-Column Scaling.
Numer. Linear Algebra Appl.
Konstantin Usevich, Jonathan Gillard, Philippe Dreesen, Ivan Markovsky
2025 — conf
Testing Marginal and Conditional Coverage in Conformal Prediction for Non-Stationary Time Series via Value-at-Risk Backtesting.
COPA
Konrad Retzlaff, Filip Schlembach, Dennis Bams, Philippe Dreesen
2024 — conf
Novel Tensor-based Singular Spectrum Decomposition.
EUSIPCO
Spriha Joshi, Philippe Dreesen, Pietro Bonizzi, Joël M. H. Karel, Ralf Peeters, Martijn Boussé
2023 — conf
Compressing Neural Networks with Two-Layer Decoupling.
CAMSAP
Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2023 C conf
Parameter Estimation of Multiple Poles by Subspace-Based Method.
CoDIT
Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva
2023 — conf
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps.
EUSIPCO
Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida
2021 — conf
Data-Driven Simulation for NARX Systems.
EUSIPCO
Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen
2021 — conf
Solving Systems of Polynomial Equations - A Tensor Approach.
LSSC
Mariya Ishteva, Philippe Dreesen
2020 J jnl
Decoupling multivariate polynomials: Interconnections between tensorizations.
J. Comput. Appl. Math.
Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2019 Misc conf
Data-driven Simulation Using the Nuclear Norm Heuristic.
ICASSP
Philippe Dreesen, Ivan Markovsky
2019 J jnl
Decoupling Multivariate Polynomials for Nonlinear State-Space Models.
IEEE Control. Syst. Lett.
Jan Decuyper, Philippe Dreesen, Johan Schoukens, Mark Runacres, Koen Tiels
2018 J jnl
Approximate decoupling of multivariate polynomials using weighted tensor decomposition.
Numer. Linear Algebra Appl.
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2018 J jnl
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record.
CoRR
Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens
2018 — conf
Decoupling Multivariate Functions Using Second-Order Information and Tensors.
LVA/ICA
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
2018 J jnl
Decoupling multivariate functions using second-order information and tensors.
CoRR
Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva
2018 J jnl
Multidimensional Realization Theory and Polynomial System Solving.
CoRR
Philippe Dreesen, Kim Batselier, Bart De Moor
2018 J jnl
Multidimensional realisation theory and polynomial system solving.
Int. J. Control
Philippe Dreesen, Kim Batselier, Bart De Moor
2017 — conf
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition.
LVA/ICA
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2017 — conf
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.
LVA/ICA
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
2017 — conf
Nonlinear system identification: Finding structure in nonlinear black-box models.
CAMSAP
Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens
2017 J jnl
Parameter reduction in nonlinear state-space identification of hysteresis.
CoRR
Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noël, Johan Schoukens
2016 J jnl
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.
CoRR
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
2016 J jnl
Weighted tensor decomposition for approximate decoupling of multivariate polynomials.
CoRR
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2015 — conf
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition.
LVA/ICA
Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
2015 J jnl
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions.
SIAM J. Matrix Anal. Appl.
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2015 — conf
Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach.
I2MTC
Philippe Dreesen, Maarten Schoukens, Koen Tiels, Johan Schoukens
2014 J jnl
A fast recursive orthogonalization scheme for the Macaulay matrix.
J. Comput. Appl. Math.
Kim Batselier, Philippe Dreesen, Bart De Moor
2014 J jnl
Decoupling Multivariate Polynomials Using First-Order Information.
CoRR
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
2014 J jnl
The Canonical Decomposition of
SIAM J. Matrix Anal. Appl.
Kim Batselier, Philippe Dreesen, Bart De Moor
2013 J jnl
The Geometry of Multivariate Polynomial Division and Elimination.
SIAM J. Matrix Anal. Appl.
Kim Batselier, Philippe Dreesen, Bart De Moor
2012 B conf
Joint Regression and Linear Combination of Time Series for Optimal Prediction.
ESANN
Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
2012 B conf
Weighted/Structured Total Least Squares problems and polynomial system solving.
ESANN
Philippe Dreesen, Kim Batselier, Bart De Moor
2012 B conf
maximum likelihood estimation and polynomial system solving.
ESANN
Kim Batselier, Philippe Dreesen, Bart De Moor