1 citations · 1 across the 1 of their papers we have counts for
2 papers
hep-lat2021★ 1 cited
Lattice gauge symmetry in neural networks
Matteo Favoni, Andreas Ipp, David I. Müller +1
We review a novel neural network architecture called lattice gauge equivariant convolutional neural networks (L-CNNs), which can be applied to generic machine learning problems in…
hep-lat2021
Generalization capabilities of translationally equivariant neural networks
Srinath Bulusu, Matteo Favoni, Andreas Ipp +2
The rising adoption of machine learning in high energy physics and lattice field theory necessitates the re-evaluation of common methods that are widely used in computer vision, wh…