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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Ipp, Andreas | Symmetries and ML | Presentation Vortrag | 18-Aug-2023 |
| 2 | | Wenger, Urs ; Ipp, Andreas ; Müller, David ; Holland, Kieran | Machine learning a fixed point action | Presentation Vortrag | 28-Jun-2023 |
| 3 | | Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo | Visualizing the inner workings of L-CNNs | Presentation Vortrag | 27-Jun-2023 |
| 4 | | Müller, David | Applications of group and gauge equivariant neural networks to problems in lattice field theory | Presentation Vortrag | 16-May-2023 |
| 5 | | Aronsson, Jimmy ; Müller, David ; Schuh, Daniel | Geometrical aspects of lattice gauge equivariant convolutional neural networks | Preprint Preprint | 23-Mar-2023 |
| 6 | | Schuh, Daniel | Transverse momentum broadening in the glasma: real-time lattice simulations and the weak-field limit | Presentation Vortrag | 6-Apr-2022 |
| 7 | | Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Translational equivariance in neural networks | Präsentation Presentation | 2021 |
| 8 | | Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel | Preserving lattice gauge equivariance in neural networks | Präsentation Presentation | 2021 |
| 9 | | Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel | Generic Lattice gauge equivariant CNN | Präsentation Presentation | 2021 |
| 10 | | Ipp, Andreas ; Mueller, David | Simulating the Glasma stage in heavy ion collisions | Präsentation Presentation | 2021 |
| 11 | | Sato, Nobuo ; Shanahan, Phiala ; Ipp, Andreas ; Cranmer, Kyle | Machine Learning Round Table | Präsentation Presentation | 2021 |
| 12 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Transverse momentum broadening in real-time lattice simulations of the glasma | Präsentation Presentation | 2021 |
| 13 | | Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Lattice Gauge Symmetry in Neural Networks | Präsentation Presentation | 2021 |
| 14 | | Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Implementing gauge symmetry in machine learning models | Präsentation Presentation | 2021 |
| 15 | | Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Generalization capabilities of neural networks in lattice applications | Präsentation Presentation | 2021 |
| 16 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Transverse momentum broadening of jets in the weak field limit of the glasma | Präsentation Presentation | 2021 |
| 17 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Jet momentum broadening in real-time lattice simulations of the glasma | Präsentation Presentation | 2021 |
| 18 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Simulations of the Glasma in 2+1D and 3+1D | Präsentation Presentation | 2020 |
| 19 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Jet transverse momentum broadening in the Glasma | Präsentation Presentation | 2020 |
| 20 | | Ipp, Andreas ; Mueller, David ; Schuh, Daniel | Momentum broadening in the Glasma | Präsentation Presentation | 2020 |
