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Probabilistic Modeling with Matrix Product States

Probabilistic Modeling with Matrix Product States

19 February 2019
J. Stokes
John Terilla
ArXivPDFHTML

Papers citing "Probabilistic Modeling with Matrix Product States"

6 / 6 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
Generative modeling with projected entangled-pair states
Generative modeling with projected entangled-pair states
Tom Vieijra
L. Vanderstraeten
F. Verstraete
56
19
0
16 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
38
7
0
21 Jan 2022
Natural evolution strategies and variational Monte Carlo
Natural evolution strategies and variational Monte Carlo
Tianchen Zhao
Giuseppe Carleo
J. Stokes
S. Veerapaneni
6
5
0
09 May 2020
Modeling Sequences with Quantum States: A Look Under the Hood
Modeling Sequences with Quantum States: A Look Under the Hood
T. Bradley
Miles E. Stoudenmire
John Terilla
83
48
0
16 Oct 2019
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