Leading epsilon corrections to boundary anomalous dimensions and OPE coefficients in phi^3 BCFTs for Yang-Lee and S_{N+1} Potts models, plus higher-derivative generalizations.
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The paper introduces a formalism for constructing conformally invariant defects in Neural Network Field Theories, demonstrates it on two toy scalar models, and provides a neural-network reading of a defect OPE expansion in two-point functions.
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Boundary anomalous dimensions from BCFT: $\phi^{3}$ theories with a boundary and higher-derivative generalizations
Leading epsilon corrections to boundary anomalous dimensions and OPE coefficients in phi^3 BCFTs for Yang-Lee and S_{N+1} Potts models, plus higher-derivative generalizations.
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Conformal Defects in Neural Network Field Theories
The paper introduces a formalism for constructing conformally invariant defects in Neural Network Field Theories, demonstrates it on two toy scalar models, and provides a neural-network reading of a defect OPE expansion in two-point functions.