From probabilistic graphical models to generalized tensor networks for supervised learning

15 June 2018

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

7 / 7 papers shown

Title
Explaining Anomalies with Tensor Networks Hans Hohenfeld Marius Beuerle Elie Mounzer 29 0 0 06 May 2025
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout Hao Chen T. Barthel 42 7 0 30 May 2023
Quantum-inspired tensor network for Earth science Soronzonbold Otgonbaatar Dieter Kranzlmüller PINN AI4CE 21 4 0 15 Jan 2023
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations Raj G. Patel Chia-Wei Hsing Serkan Şahi̇n S. Jahromi Samuel Palmer ... Stephane Aubert Pierre Castellani Chi-Guhn Lee Samuel Mugel Roman Orus 13 14 0 03 Aug 2022
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 8 24 0 11 Mar 2021
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 14 4 0 12 Feb 2020
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 21 32 0 24 Mar 2018