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Randomized CP Tensor Decomposition
v1v2 (latest)

Randomized CP Tensor Decomposition

27 March 2017
N. Benjamin Erichson
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
ArXiv (abs)PDFHTML

Papers citing "Randomized CP Tensor Decomposition"

20 / 20 papers shown
Title
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising
Hiroki Hasegawa
Yukihiko Okada
66
0
0
09 May 2025
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm
Yihang Lu
Mahwish Yousaf
Xianwei Meng
Enhong Chen
109
0
0
29 Mar 2025
Recent and Upcoming Developments in Randomized Numerical Linear Algebra
  for Machine Learning
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
Michał Dereziński
Michael W. Mahoney
81
11
0
17 Jun 2024
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics
J. Nathan Kutz
M. Reza
Farbod Faraji
A. Knoll
AI4CE
53
10
0
20 May 2024
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Koby Hayashi
Sinan G. Aksoy
Grey Ballard
Haesun Park
15
1
0
13 Feb 2024
Magnetohydrodynamics with Physics Informed Neural Operators
Magnetohydrodynamics with Physics Informed Neural Operators
S. Rosofsky
Eliu A. Huerta
AI4CE
35
11
0
13 Feb 2023
Towards Efficient and Accurate Approximation: Tensor Decomposition Based
  on Randomized Block Krylov Iteration
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
Y. Qiu
Weijun Sun
Guoxu Zhou
Qianchuan Zhao
121
4
0
27 Nov 2022
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
D. Bistrian
Omer San
Ionel M. Navon
31
1
0
17 Jun 2022
Defensive Tensorization
Defensive Tensorization
Adrian Bulat
Jean Kossaifi
S. Bhattacharya
Yannis Panagakis
Timothy M. Hospedales
Georgios Tzimiropoulos
Nicholas D. Lane
Maja Pantic
AAML
28
4
0
26 Oct 2021
Efficient Multidimensional Functional Data Analysis Using Marginal
  Product Basis Systems
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems
W. Consagra
A. Venkataraman
Xing Qiu
50
2
0
30 Jul 2021
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic
  Decomposition
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
Lu-Ming Wang
Ya-Nan Wang
Xiaofeng Gong
Qiuhua Lin
Fei Xiang
42
0
0
10 May 2021
Fast and Accurate Randomized Algorithms for Low-rank Tensor
  Decompositions
Fast and Accurate Randomized Algorithms for Low-rank Tensor Decompositions
Linjian Ma
Edgar Solomonik
74
26
0
02 Apr 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
126
420
0
24 Feb 2021
Data-Driven Aerospace Engineering: Reframing the Industry with Machine
  Learning
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Steven L. Brunton
J. Nathan Kutz
Krithika Manohar
Aleksandr Aravkin
K. Morgansen
...
J. Buttrick
Jeffrey Poskin
Agnes Blom-Schieber
Thomas Hogan
Darren McDonald
AI4CE
66
131
0
24 Aug 2020
Streaming Coresets for Symmetric Tensor Factorization
Streaming Coresets for Symmetric Tensor Factorization
Rachit Chhaya
Jayesh Choudhari
A. Dasgupta
Supratim Shit
141
14
0
01 Jun 2020
Tensor Dropout for Robust Learning
Tensor Dropout for Robust Learning
Arinbjorn Kolbeinsson
Jean Kossaifi
Yannis Panagakis
Adrian Bulat
Anima Anandkumar
I. Tzoulaki
Paul Matthews
OOD
139
2
0
27 Feb 2019
Randomized Tensor Ring Decomposition and Its Application to Large-scale
  Data Reconstruction
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
Longhao Yuan
Chong Li
Jianting Cao
Qibin Zhao
48
27
0
07 Jan 2019
Sparse Principal Component Analysis via Variable Projection
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson
Peng Zeng
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
Aleksandr Aravkin
57
120
0
01 Apr 2018
Diffusion Maps meet Nyström
Diffusion Maps meet Nyström
N. Benjamin Erichson
L. Mathelin
Steven L. Brunton
J. Nathan Kutz
57
4
0
23 Feb 2018
Randomized Nonnegative Matrix Factorization
Randomized Nonnegative Matrix Factorization
N. Benjamin Erichson
Ariana Mendible
Sophie Wihlborn
J. Nathan Kutz
69
52
0
06 Nov 2017
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