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Decomposition of Big Tensors With Low Multilinear Rank
v1v2 (latest)

Decomposition of Big Tensors With Low Multilinear Rank

5 December 2014
Guoxu Zhou
A. Cichocki
Shengli Xie
ArXiv (abs)PDFHTML

Papers citing "Decomposition of Big Tensors With Low Multilinear Rank"

16 / 16 papers shown
Title
Approximately Optimal Core Shapes for Tensor Decompositions
Approximately Optimal Core Shapes for Tensor Decompositions
Mehrdad Ghadiri
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
69
8
0
08 Feb 2023
Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
98
15
0
11 Sep 2022
Sample Efficient Learning of Factored Embeddings of Tensor Fields
Sample Efficient Learning of Factored Embeddings of Tensor Fields
Taemin Heo
Minh Nguyen
MedIm
46
0
0
01 Sep 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
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
Efficient parallel CP decomposition with pairwise perturbation and
  multi-sweep dimension tree
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree
Linjian Ma
Edgar Solomonik
65
8
0
22 Oct 2020
Stochastic Gradients for Large-Scale Tensor Decomposition
Stochastic Gradients for Large-Scale Tensor Decomposition
T. Kolda
David Hong
72
56
0
04 Jun 2019
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Yiming Sun
Yang Guo
Charlene Luo
J. Tropp
Madeleine Udell
67
73
0
24 Apr 2019
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
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
Jiajia Li
Yuchen Ma
Xiaolong Wu
Ang Li
Kevin J. Barker
30
18
0
08 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
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
Venkatesan T. Chakaravarthy
Jee W. Choi
Douglas J. Joseph
Prakash Murali
Shivmaran S. Pandian
Yogish Sabharwal
D. Sreedhar
25
26
0
25 Apr 2018
On Optimizing Distributed Tucker Decomposition for Dense Tensors
On Optimizing Distributed Tucker Decomposition for Dense Tensors
Venkatesan T. Chakaravarthy
Jee W. Choi
Douglas J. Joseph
Xing Liu
Prakash Murali
Yogish Sabharwal
D. Sreedhar
41
30
0
18 Jul 2017
Randomized CP Tensor Decomposition
Randomized CP Tensor Decomposition
N. Benjamin Erichson
Krithika Manohar
Steven L. Brunton
J. Nathan Kutz
92
64
0
27 Mar 2017
Parallel Tensor Compression for Large-Scale Scientific Data
Parallel Tensor Compression for Large-Scale Scientific Data
W. Austin
Grey Ballard
T. Kolda
55
140
0
22 Oct 2015
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness
Guoxu Zhou
A. Cichocki
Qibin Zhao
Shengli Xie
115
95
0
17 Apr 2014
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