Probabilistic Modeling with Matrix Product States

19 February 2019

Papers citing "Probabilistic Modeling with Matrix Product States"

16 / 16 papers shown

Title
Entangling Machine Learning with Quantum Tensor Networks Constantijn van der Poel Dan Zhao 36 0 0 09 Jan 2024
Grokking phase transitions in learning local rules with gradient descent Bojan Žunkovič E. Ilievski 105 17 0 26 Oct 2022
Deep tensor networks with matrix product operators Bojan Žunkovič 102 4 0 16 Sep 2022
Tensor Train for Global Optimization Problems in Robotics Suhan Shetty Teguh Santoso Lembono Tobias Löw Sylvain Calinon 87 12 0 10 Jun 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 88 20 0 16 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 96 7 0 21 Jan 2022
Explainable Natural Language Processing with Matrix Product States J. Tangpanitanon Chanatip Mangkang P. Bhadola Yuichiro Minato D. Angelakis Thiparat Chotibut 67 5 0 16 Dec 2021
Differentiable Programming of Isometric Tensor Networks Chenhua Geng Hong-Ye Hu Yijian Zou 55 10 0 08 Oct 2021
Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework Jacob Miller Geoffrey Roeder T. Bradley 39 6 0 29 Jun 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata Siddarth Srinivasan Sandesh Adhikary Jacob Miller Guillaume Rabusseau Byron Boots 51 15 0 20 Oct 2020
Natural evolution strategies and variational Monte Carlo Tianchen Zhao Giuseppe Carleo J. Stokes S. Veerapaneni 123 5 0 09 May 2020
Tensor Networks for Probabilistic Sequence Modeling Jacob Miller Guillaume Rabusseau John Terilla 32 5 0 02 Mar 2020
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State Beñat Mencia Uranga A. Lamacraft 96 3 0 26 Nov 2019
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 117 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 51 126 0 08 Jul 2019
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning G. Evenbly 50 11 0 15 May 2019