13 papers
Spinning Conformal Correlators from Neural Networks
Manas Dogra, James Halverson, Joydeep Naskar
We construct spinning conformal fields from neural networks and the embedding formalism, computing their two-, three- and four-point functions in examples, building on scalar confo…
Pre-Strings Lectures on Artificial Intelligence
James Halverson
These notes are based on six lectures given over three days at the Pre-Strings 2026 school in Shanghai. Day 1 develops neural network essentials, organized around the expressivity,…
Naturalness and Fisher Information
James Halverson, Thomas R. Harvey, Michael Nee
Fine-tuning and naturalness, the sensitivity of low-energy observables to small changes in the fundamental parameters of a theory, are cornerstones of physics beyond the Standard M…
Universality of Neural Network Field Theory
Christian Ferko, James Halverson, Aaron Mutchler
We prove that any quantum field theory, or more generally any probability distribution over tempered distributions in , admits a neural network description with a cou…
String Theory from Infinite Width Neural Networks
Samuel Frank, James Halverson
We realize bosonic string theory with ensembles of infinite width neural networks. The string tension is tuned by the variance of the output weights. The construction provides a ne…
F-theory Axiverse
Sebastian Vander Ploeg Fallon, James Halverson, Liam McAllister +1
We compute the couplings of Ramond-Ramond four-form axions in three ensembles of F-theory compactifications, with up to 181,200 axions. We work in the stretched Kähler cone, where…