Kim Batselier

发表

Tensor network subspace identification of polynomial state space models

Ngai Wong, Kim Batselier, Ching Yun Ko, 2017, Autom..

Deep Compression of Sum-Product Networks on Tensor Networks pdf

Ngai Wong, Kim Batselier, Ching Yun Ko, 2018, ArXiv.

An efficient homotopy-based Poincaré-Lindstedt method for the periodic steady-state analysis of nonlinear autonomous oscillators

Ngai Wong, Kim Batselier, Zhongming Chen, 2017, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

The mathematics in your ears. The role of math in integrated STEM via the modeling of hearing aids

Joos Vandewalle, Borbála Hunyadi, Wim Dehaene, 2013 .

Computing the state difference equations for discrete overdetermined linear systems

Ngai Wong, Kim Batselier, 2016, Autom..

Multidimensional realisation theory and polynomial system solving

Bart De Moor, Kim Batselier, Philippe Dreesen, 2018, Int. J. Control.

A novel linear algebra method for the determination of periodic steady states of nonlinear oscillators

Ngai Wong, Kim Batselier, Haotian Liu, 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Weighted/Structured Total Least Squares problems and polynomial system solving

Bart De Moor, Kim Batselier, Philippe Dreesen, 2012, ESANN.

Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains

Kim Batselier, Ching-Yun Ko, Ngai Wong, 2018, IEEE Transactions on Image Processing.

A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms pdf

Ngai Wong, Kim Batselier, Haotian Liu, 2014, SIAM J. Matrix Anal. Appl..

An efficient two-level DC operating points finder for transistor circuits

Yang Zhang, Ngai Wong, Kim Batselier, 2014, 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC).

The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases

Bart De Moor, Kim Batselier, Philippe Dreesen, 2014, SIAM J. Matrix Anal. Appl..

A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification

Ngai Wong, Kim Batselier, Zhongming Chen, 2017, Autom..

Maximum Likelihood Estimation and Polynomial System Solving

Bart De Moor, Kim Batselier, Philippe Dreesen, 2012, ESANN.

A constructive arbitrary‐degree Kronecker product decomposition of tensors

Ngai Wong, Kim Batselier, N. Wong, 2015, Numer. Linear Algebra Appl..

Lifting the curse of dimensionality with tensor methods: an introduction

Kim Batselier, 2016 .

Tensor Train alternating linear scheme for MIMO Volterra system identification pdf

Ngai Wong, Kim Batselier, Zhongming Chen, 2016, ArXiv.

Symmetric tensor decomposition by an iterative eigendecomposition algorithm pdf

Ngai Wong, Kim Batselier, N. Wong, 2014, J. Comput. Appl. Math..

Multilinear state space system identification with matrix product operators

Andrzej Cichocki, Kim Batselier, Ching-Yun Ko, 2018 .

The trouble with tensor ring decompositions pdf

Kim Batselier, 2018, ArXiv.

Sparse Tensor Network System Identification for Nonlinear Circuit Macromodeling

Kim Batselier, Ngai Wong, Ching-Yun Ko, 2018, 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).

A fast recursive orthogonalization scheme for the Macaulay matrix

Bart De Moor, Kim Batselier, Philippe Dreesen, 2014, J. Comput. Appl. Math..

Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification

Ngai Wong, Kim Batselier, N. Wong, 2017, Autom..

The Geometry of Multivariate Polynomial Division and Elimination

Bart De Moor, Kim Batselier, Philippe Dreesen, 2013, SIAM J. Matrix Anal. Appl..

STORM: A nonlinear model order reduction method via symmetric tensor decomposition

Ngai Wong, Yu-Kwong Kwok, Kim Batselier, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD

Ngai Wong, Wenjian Yu, Kim Batselier, 2018, SIAM J. Matrix Anal. Appl..

Joint Regression and Linear Combination of Time Series for Optimal Prediction

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2012, ESANN.

Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach pdf

Ngai Wong, Wenjian Yu, Kim Batselier, 2018, ArXiv.

Faster Tensor Train Decomposition for Sparse Data pdf

Kim Batselier, Lingjie Li, Wenjian Yu, 2019, J. Comput. Appl. Math..

Tensor Network alternating linear scheme for MIMO Volterra system identification

Ngai Wong, Kim Batselier, Zhongming Chen, 2016, Autom..

MERACLE: Constructive Layer-Wise Conversion of a Tensor Train into a MERA pdf

Ngai Wong, Andrzej Cichocki, Kim Batselier, 2019, Communications on Applied Mathematics and Computation.

STAVES: Speedy tensor-aided Volterra-based electronic simulator

Lijun Jiang, Ngai Wong, Haotian Liu, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

A Support Tensor Train Machine

Ngai Wong, Kim Batselier, Ching Yun Ko, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

Inverse multivariate polynomial root-finding: Numerical implementations of the affine and projective Buchberger-Möller algorithm

Ngai Wong, Kim Batselier, 2017, J. Comput. Appl. Math..

An adaptive dynamical low-rank tensor approximation scheme for fast circuit simulation

Quan Chen, Ngai Wong, Kim Batselier, 2015, 2015 IEEE 11th International Conference on ASIC (ASICON).

A tensor-based volterra series black-box nonlinear system identification and simulation framework

Ngai Wong, Kim Batselier, Zhongming Chen, 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Tensor Computation: A New Framework for High-Dimensional Problems in EDA

Kim Batselier, Ngai Wong, Luca Daniel, 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Deep Model Compression and Inference Speedup of Sum–Product Networks on Tensor Trains

Ngai Wong, Cong Chen, Kim Batselier, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Matrix Product Operator Restricted Boltzmann Machines

Ngai Wong, Kim Batselier, Ching-Yun Ko, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

Parallelized Tensor Train Learning of Polynomial Classifiers

Johan A. K. Suykens, Kim Batselier, Ngai Wong, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Tensor-network-based predistorter design for multiple-input multiple-output nonlinear systems

Ngai Wong, Kim Batselier, Noël Tanguy, 2017, 2017 IEEE 12th International Conference on ASIC (ASICON).

Large-Scale Learning with Fourier Features and Tensor Decompositions pdf

Kim Batselier, Frederiek Wesel, Kim Batselier, 2021, NeurIPS.

Prediction Error Method Identification is an Eigenvalue Problem

Bart De Moor, Kim Batselier, Philippe Dreesen, 2012 .

A Numerical Linear Algebra Framework for Solving Problems with Multivariate Polynomials (Een numerieke lineaire algebra kader voor het oplossen van problemen met multivariate veeltermen)

Kim Batselier, 2013 .

Back to the Roots: Polynomial System Solving, Linear Algebra, Systems Theory

Bart De Moor, Kim Batselier, Philippe Dreesen, 2012 .