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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

3 March 2020
Stefan Blücher
Lukas Kades
J. Pawlowski
Nils Strodthoff
Julian M. Urban
    AI4CE
ArXivPDFHTML

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
1