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On the descriptive power of Neural-Networks as constrained Tensor
  Networks with exponentially large bond dimension

On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension

27 May 2019
M. Collura
L. Dell’Anna
Timo Felser
S. Montangero
ArXivPDFHTML

Papers citing "On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension"

2 / 2 papers shown
Title
Geometry of learning neural quantum states
Geometry of learning neural quantum states
Chae-Yeun Park
M. Kastoryano
24
60
0
24 Oct 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
1