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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
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
Mustafa Musab
Joseph K. Chege
Arie Yeredor
Martin Haardt
31
0
0
25 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
Property Inheritance for Subtensors in Tensor Train Decompositions
Property Inheritance for Subtensors in Tensor Train Decompositions
HanQin Cai
Longxiu Huang
40
0
0
15 Apr 2025
Performance of Rank-One Tensor Approximation on Incomplete Data
Performance of Rank-One Tensor Approximation on Incomplete Data
Hugo Lebeau
33
0
0
10 Apr 2025
Statistical Limits in Random Tensors with Multiple Correlated Spikes
Yang Qi
Alexis Decurninge
54
0
0
05 Mar 2025
Towards Quantum Tensor Decomposition in Biomedical Applications
Towards Quantum Tensor Decomposition in Biomedical Applications
Myson Burch
Jiasen Zhang
Gideon Idumah
Hakan Doga
R. Lartey
...
Weihong Guo
Ying Ni
Laxmi Parida
Xiaojuan Li
Aritra Bose
86
2
0
18 Feb 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
77
0
0
17 Feb 2025
Functional Complexity-adaptive Temporal Tensor Decomposition
Functional Complexity-adaptive Temporal Tensor Decomposition
Panqi Chen
Lei Cheng
Jiajun Li
Weichang Li
Wei Liu
Jiang Bian
Shikai Fang
CML
77
0
0
10 Feb 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Lanlan Feng
Ce Zhu
Yipeng Liu
Saiprasad Ravishankar
Longxiu Huang
39
0
0
20 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
69
0
0
17 Jan 2025
Solving Finite-Horizon MDPs via Low-Rank Tensors
Solving Finite-Horizon MDPs via Low-Rank Tensors
Sergio Rozada
Jose Luis Orejuela
Antonio G. Marques
44
0
0
17 Jan 2025
Low-Rank Tensors for Multi-Dimensional Markov Models
Low-Rank Tensors for Multi-Dimensional Markov Models
Madeline Navarro
Sergio Rozada
Antonio G. Marques
Santiago Segarra
49
2
0
04 Nov 2024
Robust Low-rank Tensor Train Recovery
Robust Low-rank Tensor Train Recovery
Zhen Qin
Zhihui Zhu
46
1
0
19 Oct 2024
Tensor Decomposition with Unaligned Observations
Tensor Decomposition with Unaligned Observations
Runshi Tang
T. Kolda
Anru R. Zhang
20
0
0
17 Oct 2024
Automating Data Science Pipelines with Tensor Completion
Automating Data Science Pipelines with Tensor Completion
Shaan Pakala
Bryce Graw
Dawon Ahn
Tam Dinh
Mehnaz Tabassum Mahin
Vassilis Tsotras
Jia Chen
Evangelos E. Papalexakis
28
1
0
08 Oct 2024
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass
  Function Tensors
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors
Joseph K. Chege
Arie Yeredor
Martin Haardt
21
0
0
08 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie
Charilaos I. Kanatsoulis
Arnuv Tandon
Alejandro Ribeiro
36
0
0
05 Oct 2024
Projected Tensor-Tensor Products for Efficient Computation of Optimal
  Multiway Data Representations
Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations
Katherine Keegan
Elizabeth Newman
21
0
0
28 Sep 2024
Enabling Tensor Decomposition for Time-Series Classification via A
  Simple Pseudo-Laplacian Contrast
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast
Man Li
Ziyue Li
Lijun Sun
Fugee Tsung
AI4TS
26
1
0
23 Sep 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
53
8
0
12 Sep 2024
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A
  Direct Multilinear Rank Learning Approach
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach
Xueke Tong
Hancheng Zhu
Lei Cheng
Yik-Chung Wu
19
1
0
08 Sep 2024
Frontal Slice Approaches for Tensor Linear Systems
Frontal Slice Approaches for Tensor Linear Systems
Hengrui Luo
Anna Ma
33
1
0
24 Aug 2024
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
Shahana Ibrahim
Panagiotis A. Traganitis
Xiao Fu
G. Giannakis
NoLa
40
1
0
09 Jul 2024
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
Yiran Luo
Het Patel
Yu Fu
Dawon Ahn
Jia Chen
Yue Dong
Evangelos E. Papalexakis
41
1
0
25 Jun 2024
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
Zhen Qin
Zhihui Zhu
74
4
0
10 Jun 2024
Continuous Product Graph Neural Networks
Continuous Product Graph Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
34
1
0
29 May 2024
Tensor Methods in High Dimensional Data Analysis: Opportunities and
  Challenges
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy
Dong Xia
Ming Yuan
AI4CE
50
2
0
28 May 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation
Non-negative Tensor Mixture Learning for Discrete Density Estimation
Kazu Ghalamkari
Jesper L. Hinrich
Morten Mørup
65
1
0
28 May 2024
Tensor Low-rank Approximation of Finite-horizon Value Functions
Tensor Low-rank Approximation of Finite-horizon Value Functions
Sergio Rozada
Antonio G. Marques
41
3
0
27 May 2024
A Multi-resolution Low-rank Tensor Decomposition
A Multi-resolution Low-rank Tensor Decomposition
Sergio Rozada
A. Marques
40
0
0
27 May 2024
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
Sasindu Wijeratne
Rajgopal Kannan
Viktor Prasanna
33
1
0
14 May 2024
An Introduction to Complex Random Tensors
An Introduction to Complex Random Tensors
Divya Pandey
Alexis Decurninge
Harry Leib
39
1
0
23 Apr 2024
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on
  Federated Learning
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
Yukai Cai
Hang Liu
Xiulin Wang
Hongjin Li
Ziyi Wang
Chuanshuai Yang
Fengyu Cong
FedML
26
0
0
18 Apr 2024
Advancing Security in AI Systems: A Novel Approach to Detecting
  Backdoors in Deep Neural Networks
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
Khondoker Murad Hossain
Tim Oates
AAML
29
1
0
13 Mar 2024
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized
  Representation
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation
Jan Laukemann
Ahmed E. Helal
S. I. G. Anderson
Fabio Checconi
Yongseok Soh
Jesmin Jahan Tithi
Teresa M. Ranadive
Brian J Gravelle
Fabrizio Petrini
Jeewhan Choi
24
1
0
11 Mar 2024
Federated Learning Using Coupled Tensor Train Decomposition
Federated Learning Using Coupled Tensor Train Decomposition
Xiangtao Zhang
Eleftherios Kofidis
Ce Zhu
Le Zhang
Yipeng Liu
FedML
49
1
0
05 Mar 2024
Improving LSH via Tensorized Random Projection
Improving LSH via Tensorized Random Projection
Bhisham Dev Verma
Rameshwar Pratap
30
0
0
11 Feb 2024
Quantum Speedup for Spectral Approximation of Kronecker Products
Quantum Speedup for Spectral Approximation of Kronecker Products
Yeqi Gao
Zhao Song
Ruizhe Zhang
29
3
0
10 Feb 2024
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
Hugo Lebeau
Florent Chatelain
Romain Couillet
43
3
0
05 Feb 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Zhen Qin
M. Wakin
Zhihui Zhu
45
5
0
05 Jan 2024
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
31
0
0
02 Jan 2024
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization
Jianan Liu
Chunguang Li
25
0
0
10 Nov 2023
Tensor Decomposition Based Attention Module for Spiking Neural Networks
Tensor Decomposition Based Attention Module for Spiking Neural Networks
Haoyu Deng
Rui-jie Zhu
Xuerui Qiu
Yule Duan
Malu Zhang
Liang-Jian Deng
27
13
0
23 Oct 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
42
33
0
29 Sep 2023
Multi-Dictionary Tensor Decomposition
Multi-Dictionary Tensor Decomposition
Maxwell McNeil
Petko Bogdanov
25
1
0
18 Sep 2023
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for
  Tensor Decomposition on Multi-core CPU
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU
Sasindu Wijeratne
Rajgopal Kannan
Viktor Prasanna
19
4
0
17 Sep 2023
Decomposition of linear tensor transformations
Decomposition of linear tensor transformations
Claudio Turchetti
16
0
0
14 Sep 2023
Quantized Fourier and Polynomial Features for more Expressive Tensor
  Network Models
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
Frederiek Wesel
Kim Batselier
24
1
0
11 Sep 2023
Analyzing the Performance Portability of Tensor Decomposition
Analyzing the Performance Portability of Tensor Decomposition
S. I. G. Anderson
K. Teranishi
Daniel M. Dunlavy
Jee W. Choi
22
0
0
06 Jul 2023
Complex-valued Adaptive System Identification via Low-Rank Tensor
  Decomposition
Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition
Oliver Ploder
Christina Auer
O. Lang
T. Paireder
M. Huemer
10
3
0
28 Jun 2023
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