David I. Müller

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Generalization Capabilities

Machine Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

David I. Müller, Jimmy Aronsson, Daniel Schuh
Geometrical aspects of lattice gauge equivariant convolutional neural networks. Trans. Mach. Learn. Res. 2024 (2024)
Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. CoRR (2024)
Jimmy Aronsson, David I. Müller, Daniel Schuh
Geometrical aspects of lattice gauge equivariant convolutional neural networks. CoRR (2023)
Kieran Holland, Andreas Ipp, David I. Müller, Urs Wenger
Fixed point actions from convolutional neural networks. CoRR (2023)
Matteo Favoni, Andreas Ipp, David I. Müller
Applications of Lattice Gauge Equivariant Neural Networks. CoRR (2022)
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Generalization capabilities of neural networks in lattice applications. CoRR (2021)
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Equivariance and generalization in neural networks. CoRR (2021)
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Lattice gauge symmetry in neural networks. CoRR (2021)
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Preserving gauge invariance in neural networks. CoRR (2021)
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Generalization capabilities of translationally equivariant neural networks. CoRR (2021)
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
Lattice gauge equivariant convolutional neural networks. CoRR (2020)