maximum likelihood estimation and polynomial system solving. - Kim Batselier; Philippe Dreesen; Bart De Moor (ESANN, 2012)

Weighted/Structured Total Least Squares problems and polynomial system solving. - Philippe Dreesen; Kim Batselier; Bart De Moor (ESANN, 2012)

Joint Regression and Linear Combination of Time Series for Optimal Prediction. - Dries Geebelen; Kim Batselier; Philippe Dreesen; Marco Signoretto; Johan A. K. Suykens; Bart De Moor; Joos Vandewalle (ESANN, 2012)

The Geometry of Multivariate Polynomial Division and Elimination. - Kim Batselier; Philippe Dreesen; Bart De Moor (SIAM J. Matrix Anal. Appl., 2013)

Decoupling Multivariate Polynomials Using First-Order Information. - Philippe Dreesen; Mariya Ishteva; Johan Schoukens (CoRR, 2014)

A fast recursive orthogonalization scheme for the Macaulay matrix. - Kim Batselier; Philippe Dreesen; Bart De Moor (J. Comput. Appl. Math., 2014)

The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases. - Kim Batselier; Philippe Dreesen; Bart De Moor (SIAM J. Matrix Anal. Appl., 2014)

Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach. - Philippe Dreesen; Maarten Schoukens; Koen Tiels; Johan Schoukens (I2MTC, 2015)

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. - Philippe Dreesen; Thomas Goossens; Mariya Ishteva; Lieven De Lathauwer; Johan Schoukens (LVA/ICA, 2015)

Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. - Philippe Dreesen; Mariya Ishteva; Johan Schoukens (SIAM J. Matrix Anal. Appl., 2015)

Weighted tensor decomposition for approximate decoupling of multivariate polynomials. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (CoRR, 2016)

Nonlinear system identification: Finding structure in nonlinear black-box models. - Philippe Dreesen; Koen Tiels; Mariya Ishteva; Johan Schoukens (CAMSAP, 2017)

Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. - Philippe Dreesen; David T. Westwick; Johan Schoukens; Mariya Ishteva (LVA/ICA, 2017)

An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (LVA/ICA, 2017)

Parameter reduction in nonlinear state-space identification of hysteresis. - Alireza Fakhrizadeh Esfahani; Philippe Dreesen; Koen Tiels; Jean-Philippe Noël; Johan Schoukens (CoRR, 2017)

Decoupling Multivariate Functions Using Second-Order Information and Tensors. - Philippe Dreesen; Jeroen De Geeter; Mariya Ishteva (LVA/ICA, 2018)

Multidimensional Realization Theory and Polynomial System Solving. - Philippe Dreesen; Kim Batselier; Bart De Moor (CoRR, 2018)

Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record. - Rishi Relan; Koen Tiels; Anna Marconato; Philippe Dreesen; Johan Schoukens (CoRR, 2018)

Multidimensional realisation theory and polynomial system solving. - Philippe Dreesen; Kim Batselier; Bart De Moor (Int. J. Control, 2018)

Approximate decoupling of multivariate polynomials using weighted tensor decomposition. - Gabriel Hollander; Philippe Dreesen; Mariya Ishteva; Johan Schoukens (Numer. Linear Algebra Appl., 2018)

Data-driven Simulation Using the Nuclear Norm Heuristic. - Philippe Dreesen; Ivan Markovsky (ICASSP, 2019)

Decoupling Multivariate Polynomials for Nonlinear State-Space Models. - Jan Decuyper; Philippe Dreesen; Johan Schoukens; Mark Runacres; Koen Tiels (IEEE Control. Syst. Lett., 2019)

Decoupling multivariate polynomials: Interconnections between tensorizations. - Konstantin Usevich; Philippe Dreesen; Mariya Ishteva (J. Comput. Appl. Math., 2020)

Data-Driven Simulation for NARX Systems. - Vikas Kumar Mishra; Ivan Markovsky; Antonio Fazzi; Philippe Dreesen (EUSIPCO, 2021)

Solving Systems of Polynomial Equations - A Tensor Approach. - Mariya Ishteva; Philippe Dreesen (LSSC, 2021)

Compressing Neural Networks with Two-Layer Decoupling. - Joppe De Jonghe; Konstantin Usevich; Philippe Dreesen; Mariya Ishteva (CAMSAP, 2023)

Parameter Estimation of Multiple Poles by Subspace-Based Method. - Prabhu Vijayan; Philippe Dreesen; Ivan Markovsky; Mariya Ishteva (CoDIT, 2023)

Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. - Konstantin Usevich; Yassine Zniyed; Mariya Ishteva; Philippe Dreesen; André L. F. de Almeida (EUSIPCO, 2023)

Novel Tensor-based Singular Spectrum Decomposition. - Spriha Joshi; Philippe Dreesen; Pietro Bonizzi; Joël M. H. Karel; Ralf Peeters; Martijn Boussé (EUSIPCO, 2024)

Testing Marginal and Conditional Coverage in Conformal Prediction for Non-Stationary Time Series via Value-at-Risk Backtesting. - Konrad Retzlaff; Filip Schlembach; Dennis Bams; Philippe Dreesen (COPA, 2025)

Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block-Column Scaling. - Konstantin Usevich; Jonathan Gillard 002; Philippe Dreesen; Ivan Markovsky (Numer. Linear Algebra Appl., 2025)

Enhancing Block-Oriented System Identification Using Prior-Informed Volterra Kernels. - Prabhu Vijayan; Philippe Dreesen; John Lataire; Mariya Ishteva (IEEE Trans. Instrum. Meas., 2025)