![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Kim Batselier
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c22]Frederiek Wesel, Kim Batselier:
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. AISTATS 2024: 1261-1269 - [c21]Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier:
Position: Tensor Networks are a Valuable Asset for Green AI. ICML 2024 - [i29]Frederiek Wesel, Kim Batselier:
Tensor Network-Constrained Kernel Machines as Gaussian Processes. CoRR abs/2403.19500 (2024) - [i28]Kim Batselier:
Constructing structured tensor priors for Bayesian inverse problems. CoRR abs/2406.17597 (2024) - 2023
- [c20]Frederiek Wesel, Kim Batselier:
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data. AISTATS 2023: 8308-8320 - [c19]S. J. S. de Rooij, Kim Batselier, Borbála Hunyadi:
Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM. ICASSP Workshops 2023: 1-5 - [c18]Jetze Schuurmans, Kim Batselier, Julian F. P. Kooij:
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? ICLR 2023 - [i27]Jetze T. Schuurmans, Kim Batselier, Julian F. P. Kooij:
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? CoRR abs/2305.05318 (2023) - [i26]Frederiek Wesel, Kim Batselier:
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. CoRR abs/2309.05436 (2023) - [i25]Clara Menzen, Eva Memmel, Kim Batselier, Manon Kok:
Projecting basis functions with tensor networks for Gaussian process regression. CoRR abs/2310.20630 (2023) - 2022
- [j22]Lingjie Li
, Wenjian Yu
, Kim Batselier:
Faster tensor train decomposition for sparse data. J. Comput. Appl. Math. 405: 113972 (2022) - [j21]Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
Kernelized support tensor train machines. Pattern Recognit. 122: 108337 (2022) - [j20]Clara Menzen, Manon Kok, Kim Batselier:
Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation. SIAM J. Sci. Comput. 44(3): 1116- (2022) - [i24]Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel
, Kim Batselier:
Towards Green AI with tensor networks - Sustainability and innovation enabled by efficient algorithms. CoRR abs/2205.12961 (2022) - 2021
- [c17]Frederiek Wesel, Kim Batselier:
Large-Scale Learning with Fourier Features and Tensor Decompositions. NeurIPS 2021: 17543-17554 - [i23]Frederiek Wesel, Kim Batselier:
Large-Scale Learning with Fourier Features and Tensor Decompositions. CoRR abs/2109.01545 (2021) - [i22]Maximilian Lucassen, Johan A. K. Suykens, Kim Batselier:
Tensor Network Kalman Filtering for Large-Scale LS-SVMs. CoRR abs/2110.13501 (2021) - 2020
- [j19]Ridvan Karagoz, Kim Batselier:
Nonlinear system identification with regularized Tensor Network B-splines. Autom. 122: 109300 (2020) - [j18]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: 6918-6931 (2020) - [j17]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): 2665-2671 (2020) - [i21]Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
Kernelized Support Tensor Train Machines. CoRR abs/2001.00360 (2020) - [i20]Ridvan Karagoz, Kim Batselier:
Nonlinear system identification with regularized Tensor Network B-splines. CoRR abs/2003.07594 (2020) - [i19]Clara Menzen, Manon Kok, Kim Batselier:
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation. CoRR abs/2012.11228 (2020)
2010 – 2019
- 2019
- [c16]Kim Batselier, Ching-Yun Ko, Ngai Wong:
Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification. CDC 2019: 7148-7153 - [c15]Daniel Gedon, Pieter Piscaer, Kim Batselier, Carlas S. Smith, Michel Verhaegen:
Tensor Network Kalman Filter for LTI Systems. EUSIPCO 2019: 1-5 - [c14]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. IJCNN 2019: 1-8 - [c13]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
A Support Tensor Train Machine. IJCNN 2019: 1-8 - [i18]Lingjie Li, Wenjian Yu, Kim Batselier:
Faster Tensor Train Decomposition for Sparse Data. CoRR abs/1908.02721 (2019) - [i17]Kim Batselier, Andrzej Cichocki, Ngai Wong:
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR abs/1912.09775 (2019) - 2018
- [j16]Kim Batselier
, Ching Yun Ko, Ngai Wong:
Tensor network subspace identification of polynomial state space models. Autom. 95: 187-196 (2018) - [j15]Kim Batselier
, Ngai Wong:
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. Autom. 95: 413-418 (2018) - [j14]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional realisation theory and polynomial system solving. Int. J. Control 91(12): 2692-2704 (2018) - [j13]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): 1221-1244 (2018) - [j12]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): 4621-4632 (2018) - [i16]Cong Chen, Kim Batselier, Ching Yun Ko, Ngai Wong:
A Support Tensor Train Machine. CoRR abs/1804.06114 (2018) - [i15]Ching Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong:
Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach. CoRR abs/1804.06128 (2018) - [i14]Philippe Dreesen, Kim Batselier, Bart De Moor:
Multidimensional Realization Theory and Polynomial System Solving. CoRR abs/1805.02253 (2018) - [i13]Kim Batselier:
The trouble with tensor ring decompositions. CoRR abs/1811.03813 (2018) - [i12]Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Compression of Sum-Product Networks on Tensor Networks. CoRR abs/1811.03963 (2018) - [i11]Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. CoRR abs/1811.04608 (2018) - 2017
- [j11]Kim Batselier
, Zhongming Chen, Ngai Wong:
A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. Autom. 84: 17-25 (2017) - [j10]Kim Batselier
, Zhongming Chen, Ngai Wong:
Tensor Network alternating linear scheme for MIMO Volterra system identification. Autom. 84: 26-35 (2017) - [j9]Kim Batselier
, Ngai Wong:
Inverse multivariate polynomial root-finding: Numerical implementations of the affine and projective Buchberger-Möller algorithm. J. Comput. Appl. Math. 320: 15-29 (2017) - [j8]Kim Batselier
, Ngai Wong:
A constructive arbitrary-degree Kronecker product decomposition of tensors. Numer. Linear Algebra Appl. 24(5) (2017) - [j7]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): 521-536 (2017) - [c12]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: 1117-1120 - [c11]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: 283-288 - [i10]Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong:
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR abs/1707.07803 (2017) - [i9]Kim Batselier, Ngai Wong:
Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification. CoRR abs/1708.05156 (2017) - [i8]Kim Batselier, Ching Yun Ko, Ngai Wong:
Tensor network subspace identification of polynomial state space models. CoRR abs/1709.08773 (2017) - 2016
- [j6]Kim Batselier
, Ngai Wong:
Computing the state difference equations for discrete overdetermined linear systems. Autom. 64: 254-261 (2016) - [j5]Kim Batselier
, Ngai Wong:
Symmetric tensor decomposition by an iterative eigendecomposition algorithm. J. Comput. Appl. Math. 308: 69-82 (2016) - [c10]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: 557-562 - [c9]Kim Batselier
, Zhongming Chen, Haotian Liu, Ngai Wong:
A tensor-based volterra series black-box nonlinear system identification and simulation framework. ICCAD 2016: 17 - [i7]Kim Batselier, Zhongming Chen, Ngai Wong:
Tensor Train alternating linear scheme for MIMO Volterra system identification. CoRR abs/1607.00127 (2016) - [i6]Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong:
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR abs/1610.04272 (2016) - [i5]Kim Batselier, Zhongming Chen, Ngai Wong:
A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification. CoRR abs/1610.05434 (2016) - [i4]Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong:
Parallelized Tensor Train Learning of Polynomial Classifiers. CoRR abs/1612.06505 (2016) - 2015
- [j4]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): 1315-1337 (2015) - [c8]Kim Batselier
, Quan Chen, Ngai Wong:
An adaptive dynamical low-rank tensor approximation scheme for fast circuit simulation. ASICON 2015: 1-4 - [c7]Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier
, Lijun Jiang, Luca Daniel, Ngai Wong:
STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD 2015: 583-588 - [i3]Kim Batselier, Ngai Wong:
A constructive arbitrary-degree Kronecker product decomposition of tensors. CoRR abs/1507.08805 (2015) - 2014
- [j3]Kim Batselier
, Philippe Dreesen, Bart De Moor:
A fast recursive orthogonalization scheme for the Macaulay matrix. J. Comput. Appl. Math. 267: 20-32 (2014) - [j2]Kim Batselier
, Philippe Dreesen, Bart De Moor:
The Canonical Decomposition of Cnd and Numerical Gröbner and Border Bases. SIAM J. Matrix Anal. Appl. 35(4): 1242-1264 (2014) - [c6]Jian Deng, Kim Batselier
, Yang Zhang, Ngai Wong:
An Efficient Two-level DC Operating Points Finder for Transistor Circuits. DAC 2014: 117:1-117:6 - [c5]Haotian Liu, Kim Batselier
, Ngai Wong:
A novel linear algebra method for the determination of periodic steady states of nonlinear oscillators. ICCAD 2014: 611-617 - [i2]Kim Batselier, Haotian Liu, Ngai Wong:
A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms. CoRR abs/1407.1593 (2014) - [i1]Kim Batselier, Ngai Wong:
Symmetric Tensor Decomposition by an Iterative Eigendecomposition Algorithm. CoRR abs/1409.4926 (2014) - 2013
- [j1]Kim Batselier
, Philippe Dreesen, Bart De Moor:
The Geometry of Multivariate Polynomial Division and Elimination. SIAM J. Matrix Anal. Appl. 34(1): 102-125 (2013) - 2012
- [c4]Kim Batselier, Philippe Dreesen, Bart De Moor:
maximum likelihood estimation and polynomial system solving. ESANN 2012 - [c3]Philippe Dreesen, Kim Batselier, Bart De Moor:
Weighted/Structured Total Least Squares problems and polynomial system solving. ESANN 2012 - [c2]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 - 2010
- [c1]Kim Batselier
, Bart De Moor:
Maximum likelihood and polynomial system solving. BIBM Workshops 2010: 819-820
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 01:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint