David I. Müller

Orcid: 0000-0002-8163-7614

According to our database¹, David I. Müller authored at least 11 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory.

[BibT_eX]

[DOI]

CoRR, January, 2026

2024

Geometrical aspects of lattice gauge equivariant convolutional neural networks.

[BibT_eX]

[DOI]

David I. Müller

Jimmy Aronsson

Daniel Schuh

Trans. Mach. Learn. Res., 2024

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Fixed point actions from convolutional neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Applications of Lattice Gauge Equivariant Neural Networks.

[BibT_eX]

[DOI]

Matteo Favoni

Andreas Ipp

David I. Müller

CoRR, 2022

2021

Equivariance and generalization in neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Generalization capabilities of neural networks in lattice applications.

[BibT_eX]

[DOI]

CoRR, 2021

Preserving gauge invariance in neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Lattice gauge symmetry in neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Generalization capabilities of translationally equivariant neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Lattice gauge equivariant convolutional neural networks.

[BibT_eX]

[DOI]

CoRR, 2020

David I. Müller

Timeline

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Links

On csauthors.net:

Bibliography

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