| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Holland, Kieran ; Ipp, Andreas ; Müller, David ; Wenger, Urs | Fixed point actions from convolutional neural networks | Inproceedings Konferenzbeitrag | 29-Nov-2023 |
| 2 | | Ipp, Andreas | Symmetries and ML | Presentation Vortrag | 18-Aug-2023 |
| 3 | | Avramescu, Dana ; Băran, Virgil ; Greco, Vincenzo ; Ipp, Andreas ; Müller, David ; Ruggieri, Marco | Heavy quark κ and jet ^q transport coefficients in the Glasma early stage of heavy-ion collisions | Inproceedings Konferenzbeitrag | 16-Jul-2023 |
| 4 | | Wenger, Urs ; Ipp, Andreas ; Müller, David ; Holland, Kieran | Machine learning a fixed point action | Presentation Vortrag | 28-Jun-2023 |
| 5 | | Schuh, Daniel ; Ipp, Andreas ; Müller, David ; Aronsson, Jimmy ; Favoni, Matteo | Global and local symmetries in neural networks | Presentation Vortrag | 27-Jun-2023 |
| 6 | | Favoni, Matteo ; Ipp, Andreas ; Schuh, Daniel ; Müller, David | Using equivariant neural networks as maps of gauge field configurations | Presentation Vortrag | 27-Jun-2023 |
| 7 | | Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo | Visualizing the inner workings of L-CNNs | Presentation Vortrag | 27-Jun-2023 |
| 8 | | Avramescu, Dana ; Băran, Virgil ; Greco, Vicenzo ; Ipp, Andreas ; Müller, David ; Ruggieri, Marco | Simulating heavy quarks and jets in the Glasma | Inproceedings Konferenzbeitrag | 20-Jun-2023 |
| 9 | | Leuthner, Markus ; Ipp, Andreas ; Müller, David ; Singh, Pragya ; Schlichting, Sören | 3+1D observables in the dilute Glasma | Presentation Vortrag | 19-Jun-2023 |
| 10 | | Avramescu, Dana ; Băran, Virgil ; Greco, Vincenzo ; Ipp, Andreas ; David Müller ; Ruggieri, Marco | Simulating jets and heavy quarks in the glasma using the colored particle-in-cell method | Article Artikel | 15-Jun-2023 |
| 11 | | Favoni, Matteo ; Ipp, Andreas ; Müller, David ; Schuh, Daniel | Generation of gauge field configurations with equivariant neural networks | Presentation Vortrag | 2-Mar-2023 |
| 12 | | Leuthner, Markus ; Müller, David ; Ipp, Andreas ; Schlichting, Sören ; Singh, Pragya | 3+1D energy-momentum tensor of the dilute Glasma | Presentation Vortrag | 2023 |
| 13 | | Avramescu, Dana ; Băran, Virgil ; Ipp, Andreas ; Müller, David ; Greco, Vincenzo ; Ruggieri, Marco | Momentum Broadening of Heavy Quarks and Jets in the Glasma from Classical Colored Particle Simulations | Inproceedings Konferenzbeitrag | 14-Dec-2022 |
| 14 | | Favoni, Matteo ; Ipp, Andreas ; Müller, David | Applications of Lattice Gauge Equivariant Neural Networks | Inproceedings Konferenzbeitrag | 1-Dec-2022 |
| 15 | | Leuthner, Markus ; Ipp, Andreas ; Müller, David ; Schlichting, Sören ; Singh, Pragya | 3+1D observables in the dilute Glasma of relativistic heavy-ion collisions | Presentation Vortrag | 29-Sep-2022 |
| 16 | | Ipp, Andreas ; Leuthner, Markus ; Müller, David ; Schlichting, Soeren ; Singh, Pragya | Studying the 3+1D structure of the Glasma using the weak field approximation | Inproceedings Konferenzbeitrag | 2-Aug-2022 |
| 17 | | Leuthner, Markus ; Ipp, Andreas ; Müller, David ; Schlichting, Sören ; Singh, Pragya | 3+1D observables in the dilute Glasma of relativistic heavy ion collisions | Presentation Vortrag | 29-Jul-2022 |
| 18 | | Favoni, Matteo ; Ipp, Andreas ; Müller, David ; Schuh, Daniel | Machine learning with gauge symmetry | Presentation Vortrag | 6-Apr-2022 |
| 19 | | Müller, David ; Ipp, Andreas ; Schlichting, Soeren ; Singh, Pragya | Space-time structure of 3+1D color fields in heavy-ion collisions | Presentation Vortrag | 6-Apr-2022 |
| 20 | | Ipp, Andreas ; Mueller, David ; Favoni, Matteo ; Schuh, Daniel | Preserving gauge invariance in neural networks | Konferenzbeitrag Inproceedings | 2022 |