activity
20082026
most citedMachine Learning in the String Landscape

113 citations · 1.9k across the 66 of their papers we have counts for

collaborators

68 papers

hep-th2026

A Supernova Constraint on F-theory

Sebastian Vander Ploeg Fallon, James Halverson, Liam McAllister +1

We study constraints on the quantum chromodynamics (QCD) axion in F-theory, a strongly coupled limit of string theory. We build models of QCD from compactifications to four dimensi…

hep-th2026

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…

hep-th2026

Small Vacuum Energy and Tunneling in a Modified Bousso-Polchinski Model

James Halverson, Justin Khoury, Cody Long

We propose a simplified model for the cosmological constant in string theory flux vacua motivated by type IIB and F-theory compactifications. Relative to the Bousso-Polchinski mode…

hep-th2026

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…

hep-th2023

Neural Network Field Theories: Non-Gaussianity, Actions, and Locality

Mehmet Demirtas, James Halverson, Anindita Maiti +2

Both the path integral measure in field theory and ensembles of neural networks describe distributions over functions. When the central limit theorem can be applied in the infinite…

math.GT2023★ 4 cited

Searching for ribbons with machine learning

Sergei Gukov, James Halverson, Ciprian Manolescu +1

We apply Bayesian optimization and reinforcement learning to a problem in topology: the question of when a knot bounds a ribbon disk. This question is relevant in an approach to di…