A Multi-Scale Tensor Network Architecture for Classification and Regression

22 January 2020

Papers citing "A Multi-Scale Tensor Network Architecture for Classification and Regression"

7 / 7 papers shown

Title
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 43 125 0 08 Jul 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 67 130 0 08 Jan 2019
Optimizing Quantum Error Correction Codes with Reinforcement Learning Hendrik Poulsen Nautrup Nicolas Delfosse Vedran Dunjko Hans J. Briegel N. Friis 47 155 0 20 Dec 2018
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 88 270 0 06 Sep 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine David Yakira Nadav Cohen Amnon Shashua 97 126 0 05 Apr 2017
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 74 879 0 22 Sep 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 176 16,311 0 30 Apr 2014