James Halverson

According to our database, James Halverson authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks.

Thomas R. Harvey, Fabian Ruehle, Cristofero S. Fraser-Taliente, James Halverson

CoRR, May, 2025

Quantum Mechanics and Neural Networks.

Christian Ferko, James Halverson

CoRR, April, 2025

KAN: Kolmogorov-Arnold Networks.

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Neural network field theories: non-Gaussianity, actions, and locality.

Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner

Mach. Learn. Sci. Technol., March, 2024

Metric flows with neural networks.

James Halverson, Fabian Ruehle

Mach. Learn. Sci. Technol., 2024

Conformal Fields from Neural Networks.

James Halverson, Joydeep Naskar, Jiahua Tian

CoRR, 2024

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

Sergei Gukov, James Halverson, Fabian Ruehle

CoRR, 2024

2023

Searching for ribbons with machine learning.

Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle

CoRR, 2023

2021

Neural networks and quantum field theory.

James Halverson, Anindita Maiti, Keegan Stoner

Mach. Learn. Sci. Technol., 2021

Learning to unknot.

Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski

Mach. Learn. Sci. Technol., 2021

Building Quantum Field Theories Out of Neurons.

James Halverson

CoRR, 2021

Infinite Neural Network Quantum States.

Di Luo, James Halverson

CoRR, 2021

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

Anindita Maiti, Keegan Stoner, James Halverson

CoRR, 2021