Preprint
Sep 2026
Unsupervised Machine Learning of the Contact Process
The success of machine learning in phase-transition problems does not rely on algorithmic complexity alone, but on tailoring the representation to respect the physical structure of the system, including its intrinsic constraints and symmetries.
L. T. Brito, G. Alves, F. W. S. Lima et al.
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