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Introduction to Tensor Decompositions and their Applications in Machine
  Learning

Introduction to Tensor Decompositions and their Applications in Machine Learning

29 November 2017
Stephan Rabanser
Oleksandr Shchur
Stephan Günnemann
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Introduction to Tensor Decompositions and their Applications in Machine Learning"

50 / 54 papers shown
Title
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero
T. D. Bie
Nick Heard
Alexander Modell
33
0
0
01 Jun 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
167
3
0
18 Feb 2025
Linear Multidimensional Regression with Interactive Fixed-Effects
Linear Multidimensional Regression with Interactive Fixed-Effects
Hugo Freeman
94
0
0
10 Jan 2025
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Pravesh K. Kothari
Ankur Moitra
Alexander S. Wein
147
1
0
21 Nov 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for
  KV Cache Compression
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
Peiyu Liu
Zeming Gao
Wayne Xin Zhao
Yipeng Ma
Tao Wang
Ji-Rong Wen
MQ
140
5
0
21 May 2024
Improving LSH via Tensorized Random Projection
Improving LSH via Tensorized Random Projection
Bhisham Dev Verma
Rameshwar Pratap
73
1
0
11 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
171
3
0
05 Feb 2024
Simple but Effective Unsupervised Classification for Specified Domain
  Images: A Case Study on Fungi Images
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Zhaocong liu
Fa Zhang
Lin Cheng
Huanxi Deng
Xiaoyan Yang
Zhenyu Zhang
Chichun Zhou
53
2
0
15 Nov 2023
Bayesian longitudinal tensor response regression for modeling
  neuroplasticity
Bayesian longitudinal tensor response regression for modeling neuroplasticity
Suprateek Kundu
Alec Reinhardt
S-E. Song
Joo Han
M. L. Meadows
Bruce Crosson
V. Krishnamurthy
40
3
0
12 Sep 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through
  Estimator for Binary Neural Networks Training
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Xiao-Ming Wu
Dian Zheng
Zuhao Liu
Weishi Zheng
MQ
118
18
0
13 Aug 2023
Factor Graph Neural Networks
Factor Graph Neural Networks
Zhen Zhang
Mohammed Haroon Dupty
Fan Wu
Javen Qinfeng Shi
Fan Wu
AI4CE
111
40
0
02 Aug 2023
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition
  and Constraints
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints
Chao Lou
Kewei Tu
87
1
0
05 Jun 2023
Faster Robust Tensor Power Method for Arbitrary Order
Faster Robust Tensor Power Method for Arbitrary Order
Yichuan Deng
Zhao Song
Junze Yin
106
9
0
01 Jun 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery
  with Sparse Corruption
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
HanQin Cai
Zehan Chao
Longxiu Huang
Deanna Needell
106
11
0
06 May 2023
Singular Value Representation: A New Graph Perspective On Neural
  Networks
Singular Value Representation: A New Graph Perspective On Neural Networks
D. Meller
Nicolas Berkouk
GNN
51
2
0
16 Feb 2023
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
M. Seddik
Mohammed Mahfoud
Merouane Debbah
59
1
0
11 Feb 2023
Uniform tensor clustering by jointly exploring sample affinities of
  various orders
Uniform tensor clustering by jointly exploring sample affinities of various orders
Hongmin Cai
Fei Qi
Junyu Li
Yu Hu
Yue Zhang
Y. Cheung
Bin Hu
34
1
0
03 Feb 2023
Factor Model of Mixtures
Factor Model of Mixtures
Cheng Peng
S. Uryasev
41
1
0
31 Jan 2023
Unsupervised Discontinuous Constituency Parsing with Mildly
  Context-Sensitive Grammars
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars
Aaron Courville
R. Levy
Yoon Kim
63
5
0
18 Dec 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
113
11
0
10 Nov 2022
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
NumS: Scalable Array Programming for the Cloud
NumS: Scalable Array Programming for the Cloud
Melih Elibol
Vinamra Benara
Samyukta Yagati
Lianmin Zheng
Alvin Cheung
Michael I. Jordan
Ion Stoica
68
4
0
28 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
87
12
0
10 Jun 2022
A knowledge graph representation learning approach to predict novel
  kinase-substrate interactions
A knowledge graph representation learning approach to predict novel kinase-substrate interactions
Sachin Gavali
K. Ross
Chuming Chen
Julie E. Cowart
Cathy H. Wu
28
4
0
05 Jun 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with
  Low-Rank HMMs and PCFGs
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
Aaron Courville
Wei Liu
Kewei Tu
110
9
0
01 May 2022
Modeling Label Correlations for Second-Order Semantic Dependency Parsing
  with Mean-Field Inference
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference
Aaron Courville
Kewei Tu
66
1
0
07 Apr 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
73
18
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
64
9
0
14 Feb 2022
CoordX: Accelerating Implicit Neural Representation with a Split MLP
  Architecture
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
Ruofan Liang
Hongyi Sun
Nandita Vijaykumar
41
17
0
28 Jan 2022
When Random Tensors meet Random Matrices
When Random Tensors meet Random Matrices
M. Seddik
M. Guillaud
Romain Couillet
71
16
0
23 Dec 2021
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road
  Ground Navigation
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
S. Siva
Maggie B. Wigness
J. Rogers
Long Quang
Hao Zhang
TTA
62
6
0
12 Nov 2021
STNN-DDI: A Substructure-aware Tensor Neural Network to Predict
  Drug-Drug Interactions
STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions
Hui Yu
Shiyu Zhao
Jianyu Shi
38
37
0
10 Nov 2021
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition
Ioanna Siaminou
A. Liavas
56
4
0
28 Sep 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated
  Learning
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo
Moon Ye-Bin
Tae-Hyun Oh
FedML
113
125
0
13 Aug 2021
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Matthew Fahrbach
Mehrdad Ghadiri
Thomas Fu
35
5
0
22 Jul 2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
V. Gandikota
A. Mazumdar
S. Pal
15
10
0
10 Jun 2021
Tensor decomposition for learning Gaussian mixtures from moments
Tensor decomposition for learning Gaussian mixtures from moments
Rima Khouja
Pierre-Alexandre Mattei
B. Mourrain
46
10
0
01 Jun 2021
SetConv: A New Approach for Learning from Imbalanced Data
SetConv: A New Approach for Learning from Imbalanced Data
Y. Gao
Yifan Li
Yu Lin
Charu C. Aggarwal
Latifur Khan
61
13
0
03 Apr 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
C. Connell
Yangkun Wang
44
0
0
12 Mar 2021
An Iterative Contextualization Algorithm with Second-Order Attention
An Iterative Contextualization Algorithm with Second-Order Attention
Diego Maupomé
Marie-Jean Meurs
25
1
0
03 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu
Kai Han
Chang Xu
Yehui Tang
Chunjing Xu
Yunhe Wang
MQ
91
55
0
01 Mar 2021
Ergodic Exploration using Tensor Train: Applications in Insertion Tasks
Ergodic Exploration using Tensor Train: Applications in Insertion Tasks
Suhan Shetty
João Silvério
Sylvain Calinon
95
23
0
12 Jan 2021
High Fidelity Interactive Video Segmentation Using Tensor Decomposition
  Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
A. Rhodes
Manan Goel
VOS
31
2
0
23 Nov 2020
Neuralizing Efficient Higher-order Belief Propagation
Neuralizing Efficient Higher-order Belief Propagation
Mohammed Haroon Dupty
W. Lee
50
7
0
19 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
90
47
0
28 Sep 2020
Spectral Learning on Matrices and Tensors
Spectral Learning on Matrices and Tensors
Majid Janzamin
Rong Ge
Jean Kossaifi
Anima Anandkumar
85
41
0
16 Apr 2020
Recalibrating 3D ConvNets with Project & Excite
Recalibrating 3D ConvNets with Project & Excite
Anne-Marie Rickmann
Abhijit Guha Roy
Ignacio Sarasua
Christian Wachinger
3DPC
128
17
0
25 Feb 2020
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal
  Method
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method
Jiaqi Zhang
Yinghao Cai
Zhaoyang Wang
Beilun Wang
15
0
0
29 Nov 2019
Visual Relationship Detection with Low Rank Non-Negative Tensor
  Decomposition
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
Mohammed Haroon Dupty
Zhen Zhang
Wee Sun Lee
ViT
56
8
0
22 Nov 2019
Robust Tensor Completion Using Transformed Tensor SVD
Robust Tensor Completion Using Transformed Tensor SVD
Guang-Jing Song
Michael K. Ng
Xiongjun Zhang
75
20
0
02 Jul 2019
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