10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 10 cited
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
Anindita Maiti, Keegan Stoner, James Halverson
Parameter-space and function-space provide two different duality frames in which to study neural networks. We demonstrate that symmetries of network densities may be determined via…
cs.LG2020
Neural Networks and Quantum Field Theory
James Halverson, Anindita Maiti, Keegan Stoner
We propose a theoretical understanding of neural networks in terms of Wilsonian effective field theory. The correspondence relies on the fact that many asymptotic neural networks a…