Saved in:
| Main Authors: | Gukov, Sergei, Halverson, James, Ruehle, Fabian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.13321 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fermions and Supersymmetry in Neural Network Field Theories
by: Frank, Samuel, et al.
Published: (2025)
by: Frank, Samuel, et al.
Published: (2025)
Metric Flows with Neural Networks
by: Halverson, James, et al.
Published: (2023)
by: Halverson, James, et al.
Published: (2023)
Learning BPS Spectra and the Gap Conjecture
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
TASI Lectures on Physics for Machine Learning
by: Halverson, Jim
Published: (2024)
by: Halverson, Jim
Published: (2024)
Conformal Fields from Neural Networks
by: Halverson, James, et al.
Published: (2024)
by: Halverson, James, et al.
Published: (2024)
Topological Effects in Neural Network Field Theory
by: Ferko, Christian, et al.
Published: (2026)
by: Ferko, Christian, et al.
Published: (2026)
Searching for ribbons with machine learning
by: Gukov, Sergei, et al.
Published: (2023)
by: Gukov, Sergei, et al.
Published: (2023)
Quantum Mechanics and Neural Networks
by: Ferko, Christian, et al.
Published: (2025)
by: Ferko, Christian, et al.
Published: (2025)
On classical de Sitter solutions and parametric control
by: Andriot, David, et al.
Published: (2024)
by: Andriot, David, et al.
Published: (2024)
Universality of Neural Network Field Theory
by: Ferko, Christian, et al.
Published: (2026)
by: Ferko, Christian, et al.
Published: (2026)
Harmonic Analysis of the Instanton Prepotential
by: Álvarez-García, Rafael, et al.
Published: (2026)
by: Álvarez-García, Rafael, et al.
Published: (2026)
Bounds and Dualities of Type II Little String Theories
by: Baume, Florent, et al.
Published: (2024)
by: Baume, Florent, et al.
Published: (2024)
Foams and KZ-equations in Rozansky-Witten theories
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
A Heterotic Kähler Gravity and the Distance Conjecture
by: Ibarra, Javier José Murgas, et al.
Published: (2024)
by: Ibarra, Javier José Murgas, et al.
Published: (2024)
Anomalies in Neural Network Field Theory
by: Ferko, Christian, et al.
Published: (2026)
by: Ferko, Christian, et al.
Published: (2026)
Attractors, Geodesics, and the Geometry of Moduli Spaces
by: Ruehle, Fabian, et al.
Published: (2024)
by: Ruehle, Fabian, et al.
Published: (2024)
String Theory from Infinite Width Neural Networks
by: Frank, Samuel, et al.
Published: (2026)
by: Frank, Samuel, et al.
Published: (2026)
Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories
by: Cheng, Miranda C. N., et al.
Published: (2025)
by: Cheng, Miranda C. N., et al.
Published: (2025)
Conformal Defects in Neural Network Field Theories
by: Capuozzo, Pietro, et al.
Published: (2025)
by: Capuozzo, Pietro, et al.
Published: (2025)
Virasoro Symmetry in Neural Network Field Theories
by: Robinson, Brandon
Published: (2025)
by: Robinson, Brandon
Published: (2025)
Irregular KZ equations and Kac-Moody representations
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
A Twist on Heterotic Little String Duality
by: Ahmed, Hamza, et al.
Published: (2024)
by: Ahmed, Hamza, et al.
Published: (2024)
On categorification of Stokes coefficients in Chern-Simons theory
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
Fine-Tuning Small Reasoning Models for Quantum Field Theory
by: Woodward, Nathaniel S., et al.
Published: (2026)
by: Woodward, Nathaniel S., et al.
Published: (2026)
A Perspective on Symbolic Machine Learning in Physical Sciences
by: Makke, Nour, et al.
Published: (2025)
by: Makke, Nour, et al.
Published: (2025)
Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning
by: von Hippel, Matt, et al.
Published: (2025)
by: von Hippel, Matt, et al.
Published: (2025)
Machine Learning Toric Duality in Brane Tilings
by: Capuozzo, Pietro, et al.
Published: (2024)
by: Capuozzo, Pietro, et al.
Published: (2024)
Machine Learning the 6d Supergravity Landscape
by: Brady, Nathan, et al.
Published: (2025)
by: Brady, Nathan, et al.
Published: (2025)
The Frozen Phase of Heterotic F-theory Duality
by: Oehlmann, Paul-Konstantin, et al.
Published: (2024)
by: Oehlmann, Paul-Konstantin, et al.
Published: (2024)
Colored Jones Polynomials and the Volume Conjecture
by: Hughes, Mark, et al.
Published: (2025)
by: Hughes, Mark, et al.
Published: (2025)
Generalized Global Symmetries of $T[M]$ Theories: Part II
by: Gukov, Sergei, et al.
Published: (2025)
by: Gukov, Sergei, et al.
Published: (2025)
Machine Learning Neutrino-Nucleus Cross Sections
by: Hackett, Daniel C., et al.
Published: (2024)
by: Hackett, Daniel C., et al.
Published: (2024)
Stochastic normalizing flows for Effective String Theory
by: Caselle, Michele, et al.
Published: (2024)
by: Caselle, Michele, et al.
Published: (2024)
Uncovering Singularities in Feynman Integrals via Machine Learning
by: Liu, Yuanche, et al.
Published: (2025)
by: Liu, Yuanche, et al.
Published: (2025)
An AI-powered Technology Stack for Solving Many-Electron Field Theory
by: Hou, Pengcheng, et al.
Published: (2024)
by: Hou, Pengcheng, et al.
Published: (2024)
Studying Effective String Theory using deep generative models
by: Caselle, Michele, et al.
Published: (2025)
by: Caselle, Michele, et al.
Published: (2025)
A new Uncertainty Principle in Machine Learning
by: Dolotin, V., et al.
Published: (2026)
by: Dolotin, V., et al.
Published: (2026)
Beyond Poincaré Stresses: A Modern Quantum Field Theory Take on Hydrogen's Electromagnetic Mass
by: Exirifard, Qasem, et al.
Published: (2025)
by: Exirifard, Qasem, et al.
Published: (2025)
Machine learning modularity
by: Fan, Yi, et al.
Published: (2026)
by: Fan, Yi, et al.
Published: (2026)
$c_{\rm eff}$ from Resurgence at the Stokes Line
by: Adams, Griffen, et al.
Published: (2025)
by: Adams, Griffen, et al.
Published: (2025)
Similar Items
-
Fermions and Supersymmetry in Neural Network Field Theories
by: Frank, Samuel, et al.
Published: (2025) -
Metric Flows with Neural Networks
by: Halverson, James, et al.
Published: (2023) -
Learning BPS Spectra and the Gap Conjecture
by: Gukov, Sergei, et al.
Published: (2024) -
TASI Lectures on Physics for Machine Learning
by: Halverson, Jim
Published: (2024) -
Conformal Fields from Neural Networks
by: Halverson, James, et al.
Published: (2024)