Quantum-inspired Machine Learning on high-energy physics data

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Quantum-inspired Machine Learning on high-energy physics data

28 April 2020

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Papers citing "Quantum-inspired Machine Learning on high-energy physics data"

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Title
On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension M. Collura L. Dell’Anna Timo Felser S. Montangero 30 18 0 27 May 2019
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks A. Milsted M. Ganahl Stefan Leichenauer Jack Hidary G. Vidal 135 15 0 03 May 2019
TensorNetwork: A Library for Physics and Machine Learning Chase Roberts A. Milsted M. Ganahl Adam Zalcman Bruce Fontaine Yijian Zou Jack Hidary G. Vidal Stefan Leichenauer AI4CE PINN 80 110 0 03 May 2019
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 101 75 0 15 Jun 2018
Jet Charge and Machine Learning Katherine Fraser M. Schwartz 61 72 0 21 Mar 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 118 138 0 31 Dec 2017
Expressive power of recurrent neural networks Valentin Khrulkov Alexander Novikov Ivan Oseledets 111 114 0 02 Nov 2017
Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure Ding Liu Shi-Ju Ran P. Wittek C. Peng R. García G. Su M. Lewenstein 51 131 0 13 Oct 2017
Duality of Graphical Models and Tensor Networks Elina Robeva A. Seigal 33 76 0 04 Oct 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 119 126 0 05 Apr 2017
Equivalence of restricted Boltzmann machines and tensor network states Martín Arjovsky Song Cheng Haidong Xie Léon Bottou Tao Xiang 103 225 0 17 Jan 2017