Lattice gauge equivariant convolutional neural networks (L-CNNs) are a
f...
The introduction of relevant physical information into neural network
ar...
The crucial role played by the underlying symmetries of high energy phys...
In recent years, the use of machine learning has become increasingly pop...
In these proceedings we present lattice gauge equivariant convolutional
...
We review a novel neural network architecture called lattice gauge
equiv...
The rising adoption of machine learning in high energy physics and latti...
We propose Lattice gauge equivariant Convolutional Neural Networks (L-CN...