research
∙
03/20/2023
Geometrical aspects of lattice gauge equivariant convolutional neural networks
Lattice gauge equivariant convolutional neural networks (L-CNNs) are a f...
share
research
∙
12/23/2021
Equivariance and generalization in neural networks
The crucial role played by the underlying symmetries of high energy phys...
research
∙
12/23/2021
Generalization capabilities of neural networks in lattice applications
In recent years, the use of machine learning has become increasingly pop...
research
∙
12/21/2021
Preserving gauge invariance in neural networks
In these proceedings we present lattice gauge equivariant convolutional ...
research
∙
11/08/2021
Lattice gauge symmetry in neural networks
We review a novel neural network architecture called lattice gauge equiv...
research
∙
03/26/2021
Generalization capabilities of translationally equivariant neural networks
The rising adoption of machine learning in high energy physics and latti...
research
∙
12/23/2020