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)

Random Matrix Theory for Stochastic Gradient Descent. - Chanju Park; Matteo Favoni; Biagio Lucini; Gert Aarts (CoRR, 2024)

Symmetry-preserving neural networks in lattice field theories. - Matteo Favoni (CoRR, 2025)