A Siamese network trained only on non-critical percolation configurations predicts 3D site and bond percolation thresholds, but its learned representation is essentially the normalized largest-cluster size.
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Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models
A Siamese network trained only on non-critical percolation configurations predicts 3D site and bond percolation thresholds, but its learned representation is essentially the normalized largest-cluster size.