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Lower and Upper Bounds on the VC-Dimension of Tensor Network Models

Lower and Upper Bounds on the VC-Dimension of Tensor Network Models

22 June 2021
Behnoush Khavari
Guillaume Rabusseau
ArXivPDFHTML

Papers citing "Lower and Upper Bounds on the VC-Dimension of Tensor Network Models"

2 / 2 papers shown
Title
Potential and limitations of random Fourier features for dequantizing quantum machine learning
Potential and limitations of random Fourier features for dequantizing quantum machine learning
R. Sweke
Erik Recio
Sofiene Jerbi
Elies Gil-Fuster
Bryce Fuller
Jens Eisert
Johannes Jakob Meyer
40
12
0
20 Sep 2023
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