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03/20/2023
Investigating Topological Order using Recurrent Neural Networks
Recurrent neural networks (RNNs), originally developed for natural langu...
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07/28/2022
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
Recurrent neural networks (RNNs) are a class of neural networks that hav...
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06/11/2021
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm
Twin neural network regression (TNNR) is a semi-supervised regression al...
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01/25/2021
Variational Neural Annealing
Many important challenges in science and technology can be cast as optim...
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12/29/2020
Twin Neural Network Regression
We introduce twin neural network (TNN) regression. This method predicts ...
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03/09/2020
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
In this paper, we introduce interpretable Siamese Neural Networks (SNN) ...
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08/15/2017
