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Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning

Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning

Stefan Blücher
Lukas Kades
J. Pawlowski
Nils Strodthoff
Julian M. Urban
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Papers citing "Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning"

2 / 2 papers shown
Title
Solving Statistical Mechanics Using Variational Autoregressive Networks
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
53
183
0
27 Sep 2018
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders
S. J. Wetzel
SSL
DRL
38
315
0
07 Mar 2017

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