James Halverson

Orcid: 0000-0003-0535-2622

According to our database1, James Halverson authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Topological Effects in Neural Network Field Theory.
CoRR, April, 2026

Quantum mechanics and neural networks.
Mach. Learn. Sci. Technol., 2026

2025
Fermions and Supersymmetry in Neural Network Field Theories.
CoRR, November, 2025

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks.
CoRR, May, 2025

Searching for ribbons with machine learning.
Mach. Learn. Sci. Technol., 2025

KAN: Kolmogorov-Arnold Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Neural network field theories: non-Gaussianity, actions, and locality.
Mach. Learn. Sci. Technol., March, 2024

Metric flows with neural networks.
Mach. Learn. Sci. Technol., 2024

Conformal Fields from Neural Networks.
CoRR, 2024

Rigor with Machine Learning from Field Theory to the Poincaré Conjecture.
CoRR, 2024

2023
Infinite neural network quantum states: entanglement and training dynamics.
Mach. Learn. Sci. Technol., June, 2023

2021
Neural networks and quantum field theory.
Mach. Learn. Sci. Technol., 2021

Learning to unknot.
Mach. Learn. Sci. Technol., 2021

Building Quantum Field Theories Out of Neurons.
CoRR, 2021

Infinite Neural Network Quantum States.
CoRR, 2021

Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators.
CoRR, 2021


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