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Tensor Networks for Dimensionality Reduction and Large-Scale
  Optimizations. Part 2 Applications and Future Perspectives

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

30 August 2017
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
ArXivPDFHTML

Papers citing "Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives"

24 / 24 papers shown
Title
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
27
1
0
11 Sep 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
61
19
0
22 Jan 2023
Graph-Regularized Tensor Regression: A Domain-Aware Framework for
  Interpretable Multi-Way Financial Modelling
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling
Y. Xu
Kriton Konstantinidis
Danilo Mandic
24
1
0
26 Oct 2022
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks
Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks
Osman Asif Malik
V. Bharadwaj
Riley Murray
24
4
0
07 Oct 2022
Lifetime-based Optimization for Simulating Quantum Circuits on a New
  Sunway Supercomputer
Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Yaojian Chen
Yong Liu
X. Shi
Jiawei Song
Xin Liu
...
Chunyi Guo
Haohuan Fu
Jie Gao
Dexun Chen
Guangwen Yang
26
8
0
01 May 2022
Distributed non-negative RESCAL with Automatic Model Selection for
  Exascale Data
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai
Namita Kharat
E. Skau
B. Nebgen
H. Djidjev
S. Rajopadhye
James P. Smith
Boian Alexandrov
28
10
0
19 Feb 2022
Model based Multi-agent Reinforcement Learning with Tensor
  Decompositions
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
31
8
0
27 Oct 2021
A rank-adaptive higher-order orthogonal iteration algorithm for
  truncated Tucker decomposition
A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition
Chuanfu Xiao
Chao Yang
19
5
0
25 Oct 2021
More Efficient Sampling for Tensor Decomposition With Worst-Case
  Guarantees
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
36
14
0
14 Oct 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
34
119
0
07 Jul 2021
Marginalizable Density Models
Marginalizable Density Models
D. Gilboa
Ari Pakman
Thibault Vatter
BDL
32
5
0
08 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
26
32
0
31 May 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way
  Financial Forecasting
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting
Y. Xu
G. G. Calvi
Danilo P. Mandic
AI4TS
19
11
0
11 May 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data
  Classification
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
Konstantinos Makantasis
Alexandros Georgogiannis
A. Voulodimos
Ioannis Georgoulas
Anastasios Doulamis
N. Doulamis
26
21
0
11 Apr 2021
Entangled q-Convolutional Neural Nets
Entangled q-Convolutional Neural Nets
V. Anagiannis
Miranda C. N. Cheng
21
5
0
06 Mar 2021
Tensor-Train Networks for Learning Predictive Modeling of
  Multidimensional Data
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
M. N. D. Costa
R. Attux
A. Cichocki
J. Romano
19
3
0
22 Jan 2021
Learning with tree tensor networks: complexity estimates and model
  selection
Learning with tree tensor networks: complexity estimates and model selection
Bertrand Michel
A. Nouy
15
14
0
02 Jul 2020
Expressive power of tensor-network factorizations for probabilistic
  modeling, with applications from hidden Markov models to quantum machine
  learning
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
I. Glasser
R. Sweke
Nicola Pancotti
Jens Eisert
J. I. Cirac
33
123
0
08 Jul 2019
Brain correlates of task-load and dementia elucidation with tensor
  machine learning using oddball BCI paradigm
Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm
Tomasz M. Rutkowski
M. Koculak
M. S. Abe
M. Otake-Matsuura
19
14
0
19 Jun 2019
Generalized Tensor Models for Recurrent Neural Networks
Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov
Oleksii Hrinchuk
Ivan Oseledets
GNN
27
25
0
30 Jan 2019
From probabilistic graphical models to generalized tensor networks for
  supervised learning
From probabilistic graphical models to generalized tensor networks for supervised learning
I. Glasser
Nicola Pancotti
J. I. Cirac
AI4CE
69
75
0
15 Jun 2018
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
16
20
0
25 May 2018
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor
  Decomposition and Completion
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion
Longhao Yuan
Chong Li
Danilo P. Mandic
Jianting Cao
Qibin Zhao
15
10
0
22 May 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
13
168
0
25 Feb 2018
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