James Halverson

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Quantum Mechanics

Starting Points

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark
KAN: Kolmogorov-Arnold Networks. CoRR (2024)
Sergei Gukov, James Halverson, Fabian Ruehle
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture. CoRR (2024)
Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner
Neural network field theories: non-Gaussianity, actions, and locality. Mach. Learn. Sci. Technol. 5 (1) (2024)
James Halverson, Fabian Ruehle
Metric Flows with Neural Networks. CoRR (2023)
Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality. CoRR (2023)
Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle
Searching for ribbons with machine learning. CoRR (2023)
Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski
Learning to unknot. Mach. Learn. Sci. Technol. 2 (2) (2021)
Anindita Maiti, Keegan Stoner, James Halverson
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators. CoRR (2021)
James Halverson
Building Quantum Field Theories Out of Neurons. CoRR (2021)
Di Luo, James Halverson
Infinite Neural Network Quantum States. CoRR (2021)
James Halverson, Anindita Maiti, Keegan Stoner
Neural networks and quantum field theory. Mach. Learn. Sci. Technol. 2 (3) (2021)
James Halverson, Anindita Maiti, Keegan Stoner
Neural Networks and Quantum Field Theory. CoRR (2020)
Sergei Gukov, James Halverson, Fabian Ruehle, Piotr Sulkowski
Learning to Unknot. CoRR (2020)