Compact Neural Networks based on the Multiscale Entanglement
Renormalization Ansatz

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Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz

9 November 2017

Simone Severini

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Papers citing "Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz"

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Title
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 100 18 0 30 Aug 2021
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning G. Evenbly 44 11 0 15 May 2019
Compressing deep neural networks by matrix product operators Ze-Feng Gao Song Cheng Rong-Qiang He Z. Xie Hui-Hai Zhao Zhong-Yi Lu Tao Xiang 82 38 0 11 Apr 2019
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 104 75 0 15 Jun 2018
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 76 32 0 24 Mar 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 120 138 0 31 Dec 2017