David I. Müller

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory. CoRR Gert Aarts, Diaa E. Habibi, Andreas Ipp, David I. Müller, Thomas R. Ranner, Lingxiao Wang, Wei Wang, Qianteng Zhu
2024	J	`jnl`	Geometrical aspects of lattice gauge equivariant convolutional neural networks. Trans. Mach. Learn. Res. David I. Müller, Jimmy Aronsson, Daniel Schuh
2024	J	`jnl`	Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. CoRR Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
2023	J	`jnl`	Fixed point actions from convolutional neural networks. CoRR Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
2023	J	`jnl`	Geometrical aspects of lattice gauge equivariant convolutional neural networks. CoRR Jimmy Aronsson, David I. Müller, Daniel Schuh
2022	J	`jnl`	Applications of Lattice Gauge Equivariant Neural Networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller
2021	J	`jnl`	Equivariance and generalization in neural networks. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Generalization capabilities of neural networks in lattice applications. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Generalization capabilities of translationally equivariant neural networks. CoRR Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Lattice gauge symmetry in neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021	J	`jnl`	Preserving gauge invariance in neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2020	J	`jnl`	Lattice gauge equivariant convolutional neural networks. CoRR Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh