Tensor networks and efficient descriptions of classical data

Tensor networks and efficient descriptions of classical data

11 March 2021

Márton Kanász-Nagy

Papers citing "Tensor networks and efficient descriptions of classical data"

13 / 13 papers shown

Title
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 25 9 0 15 Jan 2024
Generative Learning of Continuous Data by Tensor Networks Alex Meiburg Jing Chen Jacob Miller Raphaëlle Tihon Guillaume Rabusseau A. Perdomo-Ortiz 26 5 0 31 Oct 2023
Distributive Pre-Training of Generative Modeling Using Matrix-Product States Sheng-Hsuan Lin Olivier Kuijpers S. Peterhansl F. Pollmann 10 2 0 26 Jun 2023
Tensor networks for quantum machine learning Hans-Martin Rieser Frank Köster A. Raulf 22 21 0 21 Mar 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement Yotam Alexander Nimrod De La Vega Noam Razin Nadav Cohen 26 4 0 20 Mar 2023
Deep tensor networks with matrix product operators Bojan Žunkovič 69 4 0 16 Sep 2022
Generalization and Overfitting in Matrix Product State Machine Learning Architectures A. Strashko E. Stoudenmire 12 5 0 08 Aug 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 48 19 0 16 Feb 2022
Tensor network to learn the wavefunction of data A. Dymarsky K. Pavlenko 11 6 0 15 Nov 2021
Differentiable Programming of Isometric Tensor Networks Chenhua Geng Hong-Ye Hu Yijian Zou 25 10 0 08 Oct 2021
Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework Jacob Miller Geoffrey Roeder T. Bradley 11 6 0 29 Jun 2021
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 69 74 0 15 Jun 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014