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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Holland, Kieran ; Ipp, Andreas ; Müller, David I. ; Wenger, Urs | Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network | Article Artikel  | 1-Oct-2024 |
| 2 | | Wenger, Urs ; Holland, Kieran ; Ipp, Andreas | HMC and gradient flow with machine-learned classically perfect fixed point actions | Presentation Vortrag | 30-Jul-2024 |
| 3 | | Ipp, Andreas ; Holland, Kieran ; Müller, David I. ; Wenger, Urs | Symmetries and Generalization for Machine Learning on a Lattice | Presentation Vortrag | 23-Jul-2024 |
| 4 | | Ipp, Andreas ; Holland, Kieran ; Müller, David I. ; Wenger, Urs | Learning a fixed point action for SU(3) gauge theory with lattice gauge equivariant convolutional neural networks | Presentation Vortrag | 19-Jul-2024 |
| 5 | | Ipp, Andreas ; Holland, Kieran ; Müller, David I. ; Wenger, Urs | Machine learning fixed point actions with lattice gauge equivariant convolutional neural networks | Presentation Vortrag | 16-Jul-2024 |
| 6 | | Ipp, Andreas ; Müller, David ; Holland, Kieran ; Wenger, Urs | Machine learning renormalization group actions | Inproceedings Konferenzbeitrag | 29-May-2024 |
| 7 | | Ipp, Andreas ; Holland, Kieran ; Müller, David I. ; Wenger, Urs | Improved Fixed Point Actions from Gauge Equivariant Neural Networks | Presentation Vortrag | 2-May-2024 |
| 8 | | Ipp, Andreas ; Holland, Kieran ; Müller, David I. ; Wenger, Urs | Fixed point actions from lattice gauge equivariant convolutional neural networks | Presentation Vortrag | 19-Apr-2024 |
| 9 | | Holland, Kieran ; Ipp, Andreas ; Müller, David I. ; Wenger, Urs | Application of gauge equivariant convolutional neural networks to learning a fixed point action for SU(3) gauge theory | Inproceedings Konferenzbeitrag | 3-Mar-2024 |
| 10 | | Holland, Kieran ; Ipp, Andreas ; Müller, David ; Wenger, Urs | Fixed point actions from convolutional neural networks | Inproceedings Konferenzbeitrag | 29-Nov-2023 |
| 11 | | Ipp, Andreas | Symmetries and ML | Presentation Vortrag | 18-Aug-2023 |
| 12 | | Wenger, Urs ; Ipp, Andreas ; Müller, David ; Holland, Kieran | Machine learning a fixed point action | Presentation Vortrag | 28-Jun-2023 |
| 13 | | Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo | Visualizing the inner workings of L-CNNs | Presentation Vortrag | 27-Jun-2023 |
| 14 | | Müller, David | Applications of group and gauge equivariant neural networks to problems in lattice field theory | Presentation Vortrag | 16-May-2023 |
| 15 | | Aronsson, Jimmy ; Müller, David ; Schuh, Daniel | Geometrical aspects of lattice gauge equivariant convolutional neural networks | Preprint Preprint | 23-Mar-2023 |
| 16 | | Schuh, Daniel | Transverse momentum broadening in the glasma: real-time lattice simulations and the weak-field limit | Presentation Vortrag | 6-Apr-2022 |
| 17 | | Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel | Lattice gauge equivariant convolutional neural networks | Artikel Article | 2022 |
| 18 | | Ipp, Andreas ; Mueller, David ; Favoni, Matteo ; Schuh, Daniel | Preserving gauge invariance in neural networks | Konferenzbeitrag Inproceedings | 2022 |
| 19 | | Ipp, Andreas ; Müller, David I. ; Schlichting, Soeren ; Singh, Pragya | Spacetime structure of (3+1)D color fields in high energy nuclear collisions | Artikel Article | 2021 |
| 20 | | Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel | Generalization capabilities of translationally equivariant neural networks | Artikel Article | 2021 |
