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From probabilistic graphical models to generalized tensor networks for
  supervised learning

From probabilistic graphical models to generalized tensor networks for supervised learning

15 June 2018
I. Glasser
Nicola Pancotti
J. I. Cirac
    AI4CE
ArXivPDFHTML

Papers citing "From probabilistic graphical models to generalized tensor networks for supervised learning"

3 / 3 papers shown
Title
Explaining Anomalies with Tensor Networks
Explaining Anomalies with Tensor Networks
Hans Hohenfeld
Marius Beuerle
Elie Mounzer
22
0
0
06 May 2025
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
35
7
0
30 May 2023
Quantum-inspired tensor network for Earth science
Quantum-inspired tensor network for Earth science
Soronzonbold Otgonbaatar
Dieter Kranzlmüller
PINN
AI4CE
11
4
0
15 Jan 2023
1