Tree Tensor Networks for Generative Modeling

8 January 2019

Song Cheng

Lei Wang

Tao Xiang

Pan Zhang

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Papers citing "Tree Tensor Networks for Generative Modeling"

24 / 24 papers shown

Title
Explaining Anomalies with Tensor Networks Hans Hohenfeld Marius Beuerle Elie Mounzer 34 0 0 06 May 2025
Tensor tree learns hidden relational structures in data to construct generative models Kenji Harada Tsuyoshi Okubo Naoki Kawashima 39 3 0 20 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Mathias Niepert TPM 45 5 0 01 Aug 2024
A Matrix Product State Model for Simultaneous Classification and Generation Alex Mossi Bojan Žunkovic Kyriakos Flouris 29 3 0 25 Jun 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 65 1 0 28 May 2024
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout Hao Chen T. Barthel 48 8 0 30 May 2023
Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning Yujia An Shengxing Bai Lin Cheng Xiao‐Guang Li Cheng Wang Xiao Han Gang Su Shi-Ju Ran Cong Wang 19 1 0 11 Mar 2023
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
Quantum-Inspired Tensor Neural Networks for Option Pricing Raj G. Patel Chia-Wei Hsing Serkan Şahi̇n Samuel Palmer S. Jahromi ... Mustafa Abid Stephane Aubert Pierre Castellani Samuel Mugel Roman Orus 25 3 0 28 Dec 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
Learning Generative Models for Active Inference using Tensor Networks Samuel T. Wauthier B. Vanhecke Tim Verbelen Bart Dhoedt AI4CE 18 4 0 18 Aug 2022
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 29 14 0 03 Aug 2022
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning F. Barratt J. Dborin L. Wright 21 11 0 03 Mar 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 56 19 0 16 Feb 2022
Tensor network to learn the wavefunction of data A. Dymarsky K. Pavlenko 21 6 0 15 Nov 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 82 0 01 Sep 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 25 25 0 24 Jun 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 36 12 0 22 Dec 2020
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 83 48 0 16 Oct 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 28 123 0 08 Jul 2019
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 26 32 0 24 Mar 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016