4 papers
Topological Effects in Neural Network Field Theory
Christian Ferko, James Halverson, Vishnu Jejjala +1
Neural network field theory formulates field theory as a statistical ensemble of fields defined by a network architecture and a density on its parameters. We extend the constructio…
Virasoro Symmetry in Neural Network Field Theories
Brandon Robinson
Neural Network Field Theories (NN-FTs) typically describe Generalized Free Fields that lack a local stress-energy tensor in two dimensions, obstructing the realization of Virasoro…
New punctures for six-dimensional compactifications
Fabio Apruzzi, Noppadol Mekareeya, Brandon Robinson +1
Six-dimensional superconformal field theories (SCFTs) give rise to four-dimensional (4d) ones when compactified on Riemann surfaces. In the case, this yields th…
Superconformal anomalies for string defects in six-dimensional SCFTs
Fabio Apruzzi, Noppadol Mekareeya, Brandon Robinson +1
We study the anomalies of two-dimensional BPS defects in six-dimensional superconformal field theories. Using a holographic description of these defects furnish…