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Tensor network to learn the wavefunction of data

Tensor network to learn the wavefunction of data

15 November 2021
A. Dymarsky
K. Pavlenko
ArXivPDFHTML

Papers citing "Tensor network to learn the wavefunction of data"

5 / 5 papers shown
Title
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
Hao Chen
T. Barthel
51
8
0
30 May 2023
What Makes Data Suitable for a Locally Connected Neural Network? A
  Necessary and Sufficient Condition Based on Quantum Entanglement
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Yotam Alexander
Nimrod De La Vega
Noam Razin
Nadav Cohen
28
4
0
20 Mar 2023
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
17
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
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,505
0
23 Jan 2020
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