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Roger G. Melko

Investigating Topological Order using Recurrent Neural Networks

Mar 26, 2023
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla

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* 14 pages, 7 figures, 1 table. A version with new corrections

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Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy

Jul 28, 2022
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla

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* Machine Learning and the Physical Sciences, NeurIPS 2021
* 11 pages, 4 figures, 1 table. Originally published in Machine Learning and the Physical Sciences Workshop (NeurIPS 2021), see: https://ml4physicalsciences.github.io/2021/files/NeurIPS_ML4PS_2021_92.pdf. Our reproducibility code can be found on https://github.com/mhibatallah/RNNWavefunctions

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Variational Neural Annealing

Jan 25, 2021
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla

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* 19 pages, 9 figures, 1 table

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Deep Learning the Ising Model Near Criticality

Aug 15, 2017
Alan Morningstar, Roger G. Melko

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* 16 pages, 8 figures, 1 table

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Learning Thermodynamics with Boltzmann Machines

Jun 08, 2016
Giacomo Torlai, Roger G. Melko

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* Phys. Rev. B 94, 165134 (2016)
* 8 pages, 5 figures

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