49 citations · 174 across the 20 of their papers we have counts for
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hep-lat2020
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk +3
We study the machine learning techniques applied to the lattice gauge theory's critical behavior, particularly to the confinement/deconfinement phase transition in the SU(2) and SU…
hep-lat2020
Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics
M. N. Chernodub, Harold Erbin, V. A. Goy +1
We investigate the advantages of machine learning techniques to recognize the dynamics of topological objects in quantum field theories. We consider the compact U(1) gauge theory i…