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Generative Learning of Continuous Data by Tensor Networks

Generative Learning of Continuous Data by Tensor Networks

31 October 2023
Alex Meiburg
Jing Chen
Jacob Miller
Raphaëlle Tihon
Guillaume Rabusseau
A. Perdomo-Ortiz
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Papers citing "Generative Learning of Continuous Data by Tensor Networks"

10 / 10 papers shown
Title
Interaction Decompositions for Tensor Network Regression
Interaction Decompositions for Tensor Network Regression
Ian Convy
K. B. Whaley
42
6
0
11 Aug 2022
Tensor-Train Density Estimation
Tensor-Train Density Estimation
Georgii Sergeevich Novikov
Maxim Panov
Ivan Oseledets
60
35
0
30 Jul 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
Stefanos Zafeiriou
38
122
0
07 Jul 2021
Entanglement and Tensor Networks for Supervised Image Classification
Entanglement and Tensor Networks for Supervised Image Classification
J. Martyn
G. Vidal
Chase Roberts
Stefan Leichenauer
27
39
0
12 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
45
125
0
08 Jul 2019
Tree Tensor Networks for Generative Modeling
Tree Tensor Networks for Generative Modeling
Song Cheng
Lei Wang
Tao Xiang
Pan Zhang
67
130
0
08 Jan 2019
Towards Quantum Machine Learning with Tensor Networks
Towards Quantum Machine Learning with Tensor Networks
W. Huggins
P. Patil
K. B. Whaley
E. Stoudenmire
85
344
0
30 Mar 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines
  versus Born Machines
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Song Cheng
J. Chen
Lei Wang
49
102
0
12 Dec 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
93
270
0
06 Sep 2017
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
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
56
297
0
30 Aug 2017
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