Lattice gauge equivariant convolutional neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2020)

Generalization capabilities of translationally equivariant neural networks. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Lattice gauge symmetry in neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Preserving gauge invariance in neural networks. - Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Generalization capabilities of neural networks in lattice applications. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Equivariance and generalization in neural networks. - Srinath Bulusu; Matteo Favoni; Andreas Ipp; David I. Müller; Daniel Schuh (CoRR, 2021)

Applications of Lattice Gauge Equivariant Neural Networks. - Matteo Favoni; Andreas Ipp; David I. Müller (CoRR, 2022)

Fixed point actions from convolutional neural networks. - Kieran Holland; Andreas Ipp; David I. Müller; Urs Wenger (CoRR, 2023)

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. - Kieran Holland; Andreas Ipp; David I. Müller; Urs Wenger (CoRR, 2024)

Geometrical aspects of lattice gauge equivariant convolutional neural networks. - David I. Müller; Jimmy Aronsson; Daniel Schuh (Trans. Mach. Learn. Res., 2024)