15 papers
A Tale of Two Compact Bosons
Christian Ferko, Vishnu Jejjala, Brandon Robinson
Neural network field theory (NN-FT) defines a field theory by a network architecture together with a probability density on its latent variables. For compact theories the local Gau…
Balanced Metrics Know About SYZ
Per Berglund, Tristan Hübsch, Vishnu Jejjala +2
Numerical Ricci-flat metrics on Calabi-Yau manifolds are becoming increasingly accurate. However, they often lack the interpretability required to extract theoretical insights. In…
Fortuity and Complexity in a Simple Quark Model
Jackson R. Fliss, Vishnu Jejjala, Onkar Parrikar
We observe and elaborate on a structural similarity between the categorization of monotone and fortuitous BPS operators in supersymmetric theories and gauge invariant quark operato…
What to do with a Ricci-flat Calabi--Yau metric?
Per Berglund, Tristan Hübsch, Vishnu Jejjala
Numerical approximations to Ricci-flat Calabi--Yau metrics make it possible to move beyond the topological and holomorphic data that have traditionally dominated explicit string co…
Anomalies in Neural Network Field Theory
Christian Ferko, Samuel Frank, James Halverson +1
Neural network field theory (NN-FT) formulates field theory in terms of a network architecture and a density on its parameters. We derive Schwinger--Dyson equations and Ward identi…
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…