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20202024
most citedLattice gauge equivariant convolutional neural networks

61 citations · 106 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

hep-lat2023

Fixed point actions from convolutional neural networks

Kieran Holland, Andreas Ipp, David I. Müller +1

Lattice gauge-equivariant convolutional neural networks (L-CNNs) can be used to form arbitrarily shaped Wilson loops and can approximate any gauge-covariant or gauge-invariant func…

hep-lat2023★ 6 cited

Geometrical aspects of lattice gauge equivariant convolutional neural networks

Jimmy Aronsson, David I. Müller, Daniel Schuh

Lattice gauge equivariant convolutional neural networks (L-CNNs) are a framework for convolutional neural networks that can be applied to non-Abelian lattice gauge theories without…