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Tensor Decomposition for Signal Processing and Machine Learning

Tensor Decomposition for Signal Processing and Machine Learning

6 July 2016
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
ArXivPDFHTML

Papers citing "Tensor Decomposition for Signal Processing and Machine Learning"

50 / 286 papers shown
Title
Evaluation of the MACE Force Field Architecture: from Medicinal
  Chemistry to Materials Science
Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
D. P. Kovács
Ilyes Batatia
E. Arany
Gábor Csányi
AI4CE
26
82
0
23 May 2023
Deep-Learning-Aided Alternating Least Squares for Tensor CP
  Decomposition and Its Application to Massive MIMO Channel Estimation
Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation
Xiao Gong
Wei Chen
Bo Ai
G. Leus
16
1
0
23 May 2023
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank
  Approximation
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
Wenjin Qin
Hailin Wang
Feng Zhang
Weijun Ma
Jianjun Wang
Tingwen Huang
22
5
0
19 May 2023
Scalable and Robust Tensor Ring Decomposition for Large-scale Data
Scalable and Robust Tensor Ring Decomposition for Large-scale Data
Yicong He
George Atia
18
1
0
15 May 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Haixin Wang
Xinlong Yang
Jianlong Chang
Di Jin
Jinan Sun
Shikun Zhang
Xiao Luo
Qi Tian
33
23
0
15 May 2023
On High-dimensional and Low-rank Tensor Bandits
On High-dimensional and Low-rank Tensor Bandits
Chengshuai Shi
Cong Shen
N. Sidiropoulos
32
2
0
06 May 2023
Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User
  Experiences
Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences
Christina Chaccour
Walid Saad
Merouane Debbah
H. Vincent Poor
37
18
0
29 Apr 2023
Tensor Decomposition for Model Reduction in Neural Networks: A Review
Tensor Decomposition for Model Reduction in Neural Networks: A Review
Xingyi Liu
Keshab K. Parhi
27
12
0
26 Apr 2023
Tensor PCA from basis in tensor space
Tensor PCA from basis in tensor space
C. Turchetti
Laura Falaschetti
21
0
0
11 Apr 2023
On-the-Fly Communication-and-Computing for Distributed Tensor
  Decomposition Over MIMO Channels
On-the-Fly Communication-and-Computing for Distributed Tensor Decomposition Over MIMO Channels
Xu Chen
Erik G. Larsson
Kaibin Huang
32
3
0
28 Feb 2023
Enhanced Nonlinear System Identification by Interpolating Low-Rank
  Tensors
Enhanced Nonlinear System Identification by Interpolating Low-Rank Tensors
Christina Auer
T. Paireder
Oliver Ploder
O. Lang
M. Huemer
18
0
0
15 Feb 2023
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
M. Seddik
Mohammed Mahfoud
Merouane Debbah
35
1
0
11 Feb 2023
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal
  Gradient and Low-rank Approximation
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Xiulin Wang
T. Ristaniemi
Fengyu Cong
14
0
0
10 Feb 2023
Approximately Optimal Core Shapes for Tensor Decompositions
Approximately Optimal Core Shapes for Tensor Decompositions
Mehrdad Ghadiri
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
26
8
0
08 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Y. Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
55
19
0
22 Jan 2023
Tensor-based Sequential Learning via Hankel Matrix Representation for
  Next Item Recommendations
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations
Evgeny Frolov
Ivan Oseledets
13
6
0
12 Dec 2022
Computing linear sections of varieties: quantum entanglement, tensor
  decompositions and beyond
Computing linear sections of varieties: quantum entanglement, tensor decompositions and beyond
N. Johnston
B. Lovitz
Aravindan Vijayaraghavan
28
8
0
07 Dec 2022
Low-Rank Tensor Function Representation for Multi-Dimensional Data
  Recovery
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Yisi Luo
Xile Zhao
Zhemin Li
Michael K. Ng
Deyu Meng
17
31
0
01 Dec 2022
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer
  Compression
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu
Ben Keller
Jean Kossaifi
Anima Anandkumar
Brucek Khailany
David Z. Pan
ViT
35
8
0
30 Nov 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
27
9
0
10 Nov 2022
Learning Product Graphs from Spectral Templates
Learning Product Graphs from Spectral Templates
A. Einizade
S. H. Sardouie
30
6
0
05 Nov 2022
Fast Noise Removal in Hyperspectral Images via Representative
  Coefficient Total Variation
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation
Jiangjun Peng
Hailin Wang
Xiangyong Cao
Xinling Liu
Xiangyu Rui
Deyu Meng
39
51
0
03 Nov 2022
Minimizing low-rank models of high-order tensors: Hardness, span, tight
  relaxation, and applications
Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications
N. Sidiropoulos
Paris A. Karakasis
Aritra Konar
28
2
0
16 Oct 2022
Learning Multivariate CDFs and Copulas using Tensor Factorization
Learning Multivariate CDFs and Copulas using Tensor Factorization
Magda Amiridi
N. Sidiropoulos
25
1
0
13 Oct 2022
Latent Matrices for Tensor Network Decomposition and to Tensor
  Completion
Latent Matrices for Tensor Network Decomposition and to Tensor Completion
Pei-Tse Yang
Weijun Sun
Qinbin Zhao
Guoxu Zhou
26
1
0
07 Oct 2022
A case study of spatiotemporal forecasting techniques for weather
  forecasting
A case study of spatiotemporal forecasting techniques for weather forecasting
Shakir Showkat Sofi
Ivan Oseledets
30
4
0
29 Sep 2022
Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
35
15
0
11 Sep 2022
Tensor Decomposition based Personalized Federated Learning
Tensor Decomposition based Personalized Federated Learning
Qing Wang
Jing Jin
Xiaofeng Liu
Huixuan Zong
Yunfeng Shao
Yinchuan Li
FedML
27
3
0
27 Aug 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task
  Learning
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Yifei Ren
Jian Lou
Li Xiong
Joyce C. Ho
Xiaoqian Jiang
Sivasubramanium Bhavan
OOD
24
3
0
01 Aug 2022
Approximate Real Symmetric Tensor Rank
Approximate Real Symmetric Tensor Rank
A. Ergür
Jesus Rebollo Bueno
P. Valettas
40
0
0
25 Jul 2022
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor
  Decompositions
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor Decompositions
Arvind V. Mahankali
David P. Woodruff
Ziyun Zhang
25
5
0
15 Jul 2022
Error Analysis of Tensor-Train Cross Approximation
Error Analysis of Tensor-Train Cross Approximation
Zhen Qin
Alexander Lidiak
Zhexuan Gong
Gongguo Tang
M. Wakin
Zhihui Zhu
33
9
0
09 Jul 2022
Variational Bayesian inference for CP tensor completion with side
  information
Variational Bayesian inference for CP tensor completion with side information
S. Budzinskiy
N. Zamarashkin
13
1
0
24 Jun 2022
Tensor Train for Global Optimization Problems in Robotics
Tensor Train for Global Optimization Problems in Robotics
Suhan Shetty
Teguh Santoso Lembono
Tobias Löw
Sylvain Calinon
15
12
0
10 Jun 2022
Explicit Regularization in Overparametrized Models via Noise Injection
Explicit Regularization in Overparametrized Models via Noise Injection
Antonio Orvieto
Anant Raj
Hans Kersting
Francis R. Bach
17
26
0
09 Jun 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and
  Inference in Sparsity-Aware Modeling
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
68
75
0
28 May 2022
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured
  Inputs
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs
Linjian Ma
Edgar Solomonik
35
7
0
26 May 2022
Position: Tensor Networks are a Valuable Asset for Green AI
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
33
5
0
25 May 2022
Tensor Decompositions for Hyperspectral Data Processing in Remote
  Sensing: A Comprehensive Review
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
Minghua Wang
Danfeng Hong
Zhu Han
Jiaxin Li
Jing Yao
Lianru Gao
Bing Zhang
Jocelyn Chanussot
21
59
0
13 May 2022
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral
  Unmixing
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing
Meng Ding
Xiao Fu
Xile Zhao
28
10
0
08 May 2022
Alternating Mahalanobis Distance Minimization for Stable and Accurate CP
  Decomposition
Alternating Mahalanobis Distance Minimization for Stable and Accurate CP Decomposition
Navjot Singh
Edgar Solomonik
21
0
0
14 Apr 2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned
  Linear Filters based on Long-Short Term Channel Decomposition
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition
Sangwoo Park
Osvaldo Simeone
29
4
0
23 Mar 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
  Riemannian Gradient Descent With Illustrations of Speech Processing
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Javier Tejedor
25
16
0
11 Mar 2022
Fast algorithm for overcomplete order-3 tensor decomposition
Fast algorithm for overcomplete order-3 tensor decomposition
Jingqiu Ding
Tommaso dÓrsi
Chih-Hung Liu
Stefan Tiegel
David Steurer
21
9
0
14 Feb 2022
Identifiability of Label Noise Transition Matrix
Identifiability of Label Noise Transition Matrix
Yang Liu
Hao Cheng
Kun Zhang
NoLa
35
43
0
04 Feb 2022
Approximation of Images via Generalized Higher Order Singular Value
  Decomposition over Finite-dimensional Commutative Semisimple Algebra
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra
L. Liao
Sen Lin
Lun Li
Xiuwei Zhang
Song Zhao
Yan Wang
Xinqiang Wang
Qi Gao
Jingyu Wang
11
3
0
01 Feb 2022
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor
  Completion
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
Cheng Qian
Kejun Huang
Lucas Glass
R. S. Srinivasa
Jimeng Sun
21
3
0
31 Jan 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement
  Learning
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
Sergio Rozada
Santiago Paternain
A. Marques
58
13
0
21 Jan 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command
  Recognition
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
Jun Qi
Javier Tejedor
27
4
0
11 Jan 2022
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding
  problem
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Jérémy E. Cohen
14
0
0
24 Nov 2021
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