Kim Batselier

CoRR, 2024

2023

Projecting basis functions with tensor networks for Gaussian process regression.

[BibT_eX]

[DOI]

CoRR, 2023

Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models.

[BibT_eX]

[DOI]

CoRR, 2023

How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?

[BibT_eX]

[DOI]

Jetze Schuurmans

Julian F. P. Kooij

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM.

[BibT_eX]

[DOI]

S. J. S. de Rooij

Borbála Hunyadi

Proceedings of the IEEE International Conference on Acoustics, 2023

Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation.

[BibT_eX]

[DOI]

Clara Menzen

Manon Kok

SIAM J. Sci. Comput., 2022

Kernelized support tensor train machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Faster tensor train decomposition for sparse data.

[BibT_eX]

[DOI]

Lingjie Li

Wenjian Yu

J. Comput. Appl. Math., 2022

Towards Green AI with tensor networks - Sustainability and innovation enabled by efficient algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Tensor Network Kalman Filtering for Large-Scale LS-SVMs.

[BibT_eX]

[DOI]

Maximilian Lucassen

Johan A. K. Suykens

CoRR, 2021

Large-Scale Learning with Fourier Features and Tensor Decompositions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Nonlinear system identification with regularized Tensor Network B-splines.

[BibT_eX]

[DOI]

Ridvan Karagoz

Autom., 2020

2019

MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA.

[BibT_eX]

[DOI]

Andrzej Cichocki

CoRR, 2019

A Support Tensor Train Machine.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Matrix Product Operator Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Tensor Network Kalman Filter for LTI Systems.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification.

[BibT_eX]

[DOI]

Ching-Yun Ko

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Parallelized Tensor Train Learning of Polynomial Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2018

Multidimensional realisation theory and polynomial system solving.

[BibT_eX]

[DOI]

Int. J. Control, 2018

Deep Compression of Sum-Product Networks on Tensor Networks.

[BibT_eX]

[DOI]

CoRR, 2018

The trouble with tensor ring decompositions.

[BibT_eX]

[DOI]

CoRR, 2018

Multidimensional Realization Theory and Polynomial System Solving.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Autom., 2018

Tensor network subspace identification of polynomial state space models.

[BibT_eX]

[DOI]

Ching Yun Ko

Autom., 2018

2017

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

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

A constructive arbitrary-degree Kronecker product decomposition of tensors.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2017

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

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2017

Tensor Network alternating linear scheme for MIMO Volterra system identification.

[BibT_eX]

[DOI]

Zhongming Chen

Autom., 2017

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

[BibT_eX]

[DOI]

Zhongming Chen

Autom., 2017

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

[BibT_eX]

[DOI]

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016

Symmetric tensor decomposition by an iterative eigendecomposition algorithm.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2016

Tensor Train alternating linear scheme for MIMO Volterra system identification.

[BibT_eX]

[DOI]

Zhongming Chen

CoRR, 2016

Computing the state difference equations for discrete overdetermined linear systems.

[BibT_eX]

[DOI]

Autom., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015

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

[BibT_eX]

[DOI]

Haotian Liu

SIAM J. Matrix Anal. Appl., 2015

STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

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

[BibT_eX]

[DOI]

Quan Chen

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014

The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2014

A fast recursive orthogonalization scheme for the Macaulay matrix.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2014

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

[BibT_eX]

[DOI]

Haotian Liu

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

An Efficient Two-level DC Operating Points Finder for Transistor Circuits.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2013

The Geometry of Multivariate Polynomial Division and Elimination.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2013

2012

Joint Regression and Linear Combination of Time Series for Optimal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Weighted/Structured Total Least Squares problems and polynomial system solving.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

maximum likelihood estimation and polynomial system solving.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2010

Maximum likelihood and polynomial system solving.

[BibT_eX]

[DOI]