Equivalence of restricted Boltzmann machines and tensor network states

17 January 2017

Martín Arjovsky

Song Cheng

Haidong Xie

Léon Bottou

Tao Xiang

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Papers citing "Equivalence of restricted Boltzmann machines and tensor network states"

27 / 27 papers shown

Title
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 58 19 0 22 Jan 2023
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo Feng Chen Ming Xue 26 0 0 29 Oct 2022
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 Bojan Žunkovič 72 4 0 16 Sep 2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems Cong Fu Xuan Zhang Huixin Zhang Hongyi Ling Shenglong Xu Shuiwang Ji 21 12 0 15 Jun 2022
Continuous-variable neural-network quantum states and the quantum rotor model J. Stokes Saibal De S. Veerapaneni Giuseppe Carleo 30 8 0 15 Jul 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 27 32 0 06 Jul 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 18 5 0 06 Mar 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 39 12 0 22 Dec 2020
Geometry of learning neural quantum states Chae-Yeun Park M. Kastoryano 29 60 0 24 Oct 2019
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 83 48 0 16 Oct 2019
Experimental quantum homodyne tomography via machine learning E. Tiunov V. Tiunova Alexander Ulanov A. Lvovsky A. Fedorov 14 56 0 15 Jul 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 30 123 0 08 Jul 2019
TensorNetwork for Machine Learning Stavros Efthymiou Jack Hidary Stefan Leichenauer 22 68 0 07 Jun 2019
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks A. Milsted M. Ganahl Stefan Leichenauer Jack Hidary G. Vidal 62 15 0 03 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 27 155 0 03 Apr 2019
Deep autoregressive models for the efficient variational simulation of many-body quantum systems Or Sharir Yoav Levine Noam Wies Giuseppe Carleo Amnon Shashua 24 187 0 11 Feb 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 18 129 0 08 Jan 2019
The Expressive Power of Parameterized Quantum Circuits Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 29 92 0 29 Oct 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 69 75 0 15 Jun 2018
Opening the black box of deep learning Dian Lei Xiaoxiao Chen Jianfei Zhao AI4CE PINN 15 26 0 22 May 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 29 101 0 12 Dec 2017
Tensor network language model V. Pestun Yiannis Vlassopoulos 31 36 0 27 Oct 2017
Identifying Quantum Phase Transitions with Adversarial Neural Networks Patrick Huembeli A. Dauphin P. Wittek AAML 21 55 0 11 Oct 2017
Neural-Network Quantum States, String-Bond States, and Chiral Topological States I. Glasser Nicola Pancotti Moritz August I. D. Rodriguez J. I. Cirac 29 226 0 11 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 24 268 0 06 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 28 296 0 30 Aug 2017