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Residual Matrix Product State for Machine Learning

Residual Matrix Product State for Machine Learning

22 December 2020
Ye Meng
Jing Zhang
Peng Zhang
Chao Gao
Shi-Ju Ran
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Papers citing "Residual Matrix Product State for Machine Learning"

4 / 4 papers shown
Title
Grokking phase transitions in learning local rules with gradient descent
Grokking phase transitions in learning local rules with gradient descent
Bojan Žunkovič
E. Ilievski
63
16
0
26 Oct 2022
Deep tensor networks with matrix product operators
Deep tensor networks with matrix product operators
Bojan Žunkovič
72
4
0
16 Sep 2022
Tensor networks for unsupervised machine learning
Tensor networks for unsupervised machine learning
Jing Liu
Sujie Li
Jiang Zhang
Pan Zhang
SSL
22
25
0
24 Jun 2021
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
1