Kim Batselier

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 60

Top Topics

Tensor Decomposition

Top Venues

J. Comput. Appl. Math.

SIAM J. Matrix Anal. Appl.

Publications

Kim Batselier
Constructing structured tensor priors for Bayesian inverse problems. CoRR (2024)
Frederiek Wesel, Kim Batselier
Tensor Network-Constrained Kernel Machines as Gaussian Processes. CoRR (2024)
Frederiek Wesel, Kim Batselier
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. AISTATS (2024)
Frederiek Wesel, Kim Batselier
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. CoRR (2023)
Clara Menzen, Eva Memmel, Kim Batselier, Manon Kok
Projecting basis functions with tensor networks for Gaussian process regression. CoRR (2023)
Jetze Schuurmans, Kim Batselier, Julian F. P. Kooij
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? ICLR (2023)
Jetze T. Schuurmans, Kim Batselier, Julian F. P. Kooij
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? CoRR (2023)
Frederiek Wesel, Kim Batselier
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data. AISTATS (2023)
Clara Menzen, Manon Kok, Kim Batselier
Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation. SIAM J. Sci. Comput. 44 (3) (2022)
Lingjie Li, Wenjian Yu, Kim Batselier
Faster tensor train decomposition for sparse data. J. Comput. Appl. Math. 405 (2022)
Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier
Towards Green AI with tensor networks - Sustainability and innovation enabled by efficient algorithms. CoRR (2022)
Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
Kernelized support tensor train machines. Pattern Recognit. 122 (2022)
Maximilian Lucassen, Johan A. K. Suykens, Kim Batselier
Tensor Network Kalman Filtering for Large-Scale LS-SVMs. CoRR (2021)
Frederiek Wesel, Kim Batselier
Large-Scale Learning with Fourier Features and Tensor Decompositions. CoRR (2021)
Frederiek Wesel, Kim Batselier
Large-Scale Learning with Fourier Features and Tensor Decompositions. NeurIPS (2021)
Ridvan Karagoz, Kim Batselier
Nonlinear system identification with regularized Tensor Network B-splines. CoRR (2020)
Ridvan Karagoz, Kim Batselier
Nonlinear system identification with regularized Tensor Network B-splines. Autom. 122 (2020)
Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. 29 (2020)
Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
Kernelized Support Tensor Train Machines. CoRR (2020)
Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Clara Menzen, Manon Kok, Kim Batselier
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation. CoRR (2020)
Daniel Gedon, Pieter Piscaer, Kim Batselier, Carlas S. Smith, Michel Verhaegen
Tensor Network Kalman Filter for LTI Systems. EUSIPCO (2019)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
Matrix Product Operator Restricted Boltzmann Machines. IJCNN (2019)
Kim Batselier, Andrzej Cichocki, Ngai Wong
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR (2019)
Kim Batselier, Ching-Yun Ko, Ngai Wong
Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification. CDC (2019)
Lingjie Li, Wenjian Yu, Kim Batselier
Faster Tensor Train Decomposition for Sparse Data. CoRR (2019)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
A Support Tensor Train Machine. IJCNN (2019)
Kim Batselier
The trouble with tensor ring decompositions. CoRR (2018)
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong
Matrix Product Operator Restricted Boltzmann Machines. CoRR (2018)
Ching Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong
Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach. CoRR (2018)
Cong Chen, Kim Batselier, Ching Yun Ko, Ngai Wong
A Support Tensor Train Machine. CoRR (2018)
Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91 (12) (2018)
Kim Batselier, Ngai Wong
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. Autom. 95 (2018)
Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong
Parallelized Tensor Train Learning of Polynomial Classifiers. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong
Deep Compression of Sum-Product Networks on Tensor Networks. CoRR (2018)
Kim Batselier, Ching Yun Ko, Ngai Wong
Tensor network subspace identification of polynomial state space models. Autom. 95 (2018)
Philippe Dreesen, Kim Batselier, Bart De Moor
Multidimensional Realization Theory and Polynomial System Solving. CoRR (2018)
Zhongming Chen, Kim Batselier, Haotian Liu, Ngai Wong
An efficient homotopy-based Poincaré-Lindstedt method for the periodic steady-state analysis of nonlinear autonomous oscillators. ASP-DAC (2017)
Kim Batselier, Ching Yun Ko, Ngai Wong
Tensor network subspace identification of polynomial state space models. CoRR (2017)
Kim Batselier, Ngai Wong
A constructive arbitrary-degree Kronecker product decomposition of tensors. Numer. Linear Algebra Appl. 24 (5) (2017)
Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR (2017)
Kim Batselier, Zhongming Chen, Ngai Wong
Tensor Network alternating linear scheme for MIMO Volterra system identification. Autom. 84 (2017)
Cong Chen, Kim Batselier, Mihai Telescu, Stéphane Azou, Noël Tanguy, Ngai Wong
Tensor-network-based predistorter design for multiple-input multiple-output nonlinear systems. ASICON (2017)
Kim Batselier, Ngai Wong
Inverse multivariate polynomial root-finding: Numerical implementations of the affine and projective Buchberger-Möller algorithm. J. Comput. Appl. Math. 320 (2017)
Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (4) (2017)
Kim Batselier, Zhongming Chen, Ngai Wong
A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. Autom. 84 (2017)
Kim Batselier, Ngai Wong
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. CoRR (2017)
Kim Batselier, Zhongming Chen, Ngai Wong
Tensor Train alternating linear scheme for MIMO Volterra system identification. CoRR (2016)
Jian Deng, Haotian Liu, Kim Batselier, Yu-Kwong Kwok, Ngai Wong
STORM: A nonlinear model order reduction method via symmetric tensor decomposition. ASP-DAC (2016)
Kim Batselier, Zhongming Chen, Ngai Wong
A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. CoRR (2016)
Kim Batselier, Ngai Wong
Symmetric tensor decomposition by an iterative eigendecomposition algorithm. J. Comput. Appl. Math. 308 (2016)
Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong
Parallelized Tensor Train Learning of Polynomial Classifiers. CoRR (2016)
Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR (2016)
Kim Batselier, Zhongming Chen, Haotian Liu, Ngai Wong
A tensor-based volterra series black-box nonlinear system identification and simulation framework. ICCAD (2016)
Kim Batselier, Ngai Wong
Computing the state difference equations for discrete overdetermined linear systems. Autom. 64 (2016)
Kim Batselier, Quan Chen, Ngai Wong
An adaptive dynamical low-rank tensor approximation scheme for fast circuit simulation. ASICON (2015)
Kim Batselier, Ngai Wong
A constructive arbitrary-degree Kronecker product decomposition of tensors. CoRR (2015)
Kim Batselier, Haotian Liu, Ngai Wong
A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms. SIAM J. Matrix Anal. Appl. 36 (3) (2015)
Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong
STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD (2015)
Kim Batselier, Philippe Dreesen, Bart De Moor
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267 (2014)
Kim Batselier, Haotian Liu, Ngai Wong
A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms. CoRR (2014)
Kim Batselier, Philippe Dreesen, Bart De Moor
and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
Jian Deng, Kim Batselier, Yang Zhang, Ngai Wong
An Efficient Two-level DC Operating Points Finder for Transistor Circuits. DAC (2014)
Haotian Liu, Kim Batselier, Ngai Wong
A novel linear algebra method for the determination of periodic steady states of nonlinear oscillators. ICCAD (2014)
Kim Batselier, Ngai Wong
Symmetric Tensor Decomposition by an Iterative Eigendecomposition Algorithm. CoRR (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)
Kim Batselier, Bart De Moor
Maximum likelihood and polynomial system solving. BIBM Workshops (2010)