Unsupervised Generative Modeling Using Matrix Product States

6 September 2017

Jun Wang

Lei Wang

Papers citing "Unsupervised Generative Modeling Using Matrix Product States"

38 / 38 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
Tensor Networks for Explainable Machine Learning in Cybersecurity Borja Aizpurua Samuel Palmer Roman Orus 34 7 0 29 Dec 2023
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout Hao Chen T. Barthel 48 7 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
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 34 3 0 01 Feb 2023
Density peak clustering using tensor network Xiaoxi Shi Y. Shang 18 1 0 01 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 55 19 0 22 Jan 2023
Scalably learning quantum many-body Hamiltonians from dynamical data Frederik Wilde A. Kshetrimayum I. Roth D. Hangleiter R. Sweke Jens Eisert AI4CE 13 27 0 28 Sep 2022
Learning Generative Models for Active Inference using Tensor Networks Samuel T. Wauthier B. Vanhecke Tim Verbelen Bart Dhoedt AI4CE 13 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 26 14 0 03 Aug 2022
Introducing Non-Linear Activations into Quantum Generative Models Kaitlin Gili Mykolas Sveistrys C. Ballance 22 10 0 28 May 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 56 19 0 16 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
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
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations Yiwei Chen Y. Pan D. Dong 21 3 0 19 Aug 2021
GANmapper: geographical data translation Abraham Noah Wu Filip Biljecki GAN 21 41 0 07 Aug 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 11 25 0 24 Jun 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 42 16 0 15 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
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 16 5 0 06 Mar 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 26 12 0 22 Dec 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 32 49 0 30 Nov 2020
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 19 4 0 12 Feb 2020
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 0 18 Jun 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
Learning and Inference on Generative Adversarial Quantum Circuits J. Zeng Y. Wu Jin-Guo Liu Lei Wang Jiangping Hu GAN 35 75 0 10 Aug 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 25 341 0 30 Mar 2018
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
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 25 137 0 31 Dec 2017
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 21 101 0 12 Dec 2017
Tensor network language model V. Pestun Yiannis Vlassopoulos 23 36 0 27 Oct 2017
Identifying Quantum Phase Transitions with Adversarial Neural Networks Patrick Huembeli A. Dauphin P. Wittek AAML 16 55 0 11 Oct 2017
Equivalence of restricted Boltzmann machines and tensor network states Martín Arjovsky Song Cheng Haidong Xie Léon Bottou Tao Xiang 24 225 0 17 Jan 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 269 2,550 0 25 Jan 2016