Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning

8 July 2019

Papers citing "Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning"

20 / 20 papers shown

Title
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
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes L. Banchi 28 3 0 20 Dec 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 35 12 0 20 Sep 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 61 19 0 22 Jan 2023
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
Generative Modeling via Tree Tensor Network States Xun Tang Y. Hur Y. Khoo Lexing Ying 24 8 0 03 Sep 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 24 6 0 15 Nov 2021
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 35 17 0 11 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 22 11 0 08 Oct 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
Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization D. Lahat Yanbin Lang Vincent Y. F. Tan Cédric Févotte 29 3 0 24 Jul 2020
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability T. Hubregtsen Josef Pichlmeier Patrick Stecher K. Bertels 27 13 0 22 Mar 2020
A Tensor Network Approach to Finite Markov Decision Processes E. Gillman Dominic C. Rose J. P. Garrahan 19 4 0 12 Feb 2020
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 83 48 0 16 Oct 2019
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