Ipp, A., Leuthner, M., Müller, D. I., Schlichting, S., Schmidt, K., & Singh, P. (2024). Energy-momentum tensor of the dilute (3+1) D glasma. Physical Review D, 109(9), Article 094040. https://doi.org/10.1103/PhysRevD.109.094040 ( reposiTUm)

Boguslavski, K., Hotzy, P., & Müller, D. I. (2024). Real-time correlators in 3+1D thermal lattice gauge theory. Physical Review D, 109(9), Article 094518. https://doi.org/10.1103/PhysRevD.109.094518 ( reposiTUm)

Dragomir, A. G., & Müller, D. I. (2024). Problem size reduction methods for large CVRPs. COMPUTERS & OPERATIONS RESEARCH, 172, Article 106820. https://doi.org/10.1016/j.cor.2024.106820 ( reposiTUm)

Holland, K., Ipp, A., Müller, D. I., & Wenger, U. (2024). Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. Physical Review D, 110(7), Article 074502. https://doi.org/10.1103/PhysRevD.110.074502 ( reposiTUm)

Avramescu, D., Băran, V., Greco, V., Ipp, A., David Müller, & Ruggieri, M. (2023). Simulating jets and heavy quarks in the glasma using the colored particle-in-cell method. Physical Review D, 107(11), 114021-1-114021–114030. https://doi.org/10.1103/PhysRevD.107.114021 ( reposiTUm)

Holland, K., Ipp, A., Müller, D. I., & Wenger, U. (2024). Application of gauge equivariant convolutional neural networks to learning a fixed point action for SU(3) gauge theory. In ICLR 2024 Workshop on AI4DifferentialEquations In Science. ICLR 2024 Workshop on AI4DifferentialEquations in Science, Vienna, Austria. http://hdl.handle.net/20.500.12708/210283 ( reposiTUm)

Boguslavski, K., Hotzy, P., & Müller, D. (2023). Taming complex Langevin simulations of real-time lattice gauge theory with an anisotropic kernel. In The VII-th International Conference on the Initial Stages of High-Energy Nuclear Collisions : Initial Stages 2023, Book of Abstracts (pp. 64–65). ( reposiTUm)

Holland, K., Ipp, A., Müller, D., & Wenger, U. (2023). Fixed point actions from convolutional neural networks. In Proceedings of Science (PoS). 40th International Symposium on Lattice Field Theory (Lattice 2023), Fermilab, Batavia, Illinois, United States of America (the). https://doi.org/10.48550/ARXIV.2311.17816 ( reposiTUm)

Avramescu, D., Băran, V., Greco, V., Ipp, A., Müller, D., & Ruggieri, M. (2023). Heavy quark κ and jet ^q transport coefficients in the Glasma early stage of heavy-ion collisions. In Proceedings of Science (PoS). 11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions (HardProbes 2023), Aschaffenburg, Germany. https://doi.org/10.48550/ARXIV.2307.07999 ( reposiTUm)

Avramescu, D., Băran, V., Greco, V., Ipp, A., Müller, D., & Ruggieri, M. (2023). Simulating heavy quarks and jets in the Glasma. In The VII-th International Conference on the Initial Stages of High-Energy Nuclear Collisions : Initial Stages 2023 : Book of Abstracts (pp. 65–65). http://hdl.handle.net/20.500.12708/194609 ( reposiTUm)

Ipp, A., Leuthner, M., Müller, D., Schlichting, S., & Singh, P. (2022). Studying the 3+1D structure of the Glasma using the weak field approximation. In XVth Quark Confinement and the Hadron Spectrum Conference (ConfXV) (p. 05017). EPJ Web of Conferences. https://doi.org/10.1051/epjconf/202227405017 ( reposiTUm)

Avramescu, D., Băran, V., Ipp, A., Müller, D., Greco, V., & Ruggieri, M. (2022). Momentum Broadening of Heavy Quarks and Jets in the Glasma from Classical Colored Particle Simulations. In Acta Physica Polonica B Proceedings Supplement. Quark Matter 2022, Krakow, Poland. Acta Physica Polonica B. https://doi.org/10.5506/APhysPolBSupp.16.1-A157 ( reposiTUm)

Schmidt, K. (2025, April 29). The (3+1)D structure of the dilute Glasma [Presentation]. McGill University Nuclear Theory Group Seminar 2025, Canada. https://doi.org/10.34726/10100 ( reposiTUm)

Leuthner, M. (2024, May 14). Longitudinal structure of relativistic heavy-ion collisions from the (3+1)D dilute Glasma [Presentation]. Vienna Theory Lunch Seminar, Wien, Austria. ( reposiTUm)

Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, July 19). Learning a fixed point action for SU(3) gauge theory with lattice gauge equivariant convolutional neural networks [Poster Presentation]. iTHEMS NOW & NEXT 2024, RIKEN Wako, Tokio, Japan. http://hdl.handle.net/20.500.12708/208967 ( reposiTUm)

Wenger, U., Holland, K., & Ipp, A. (2024, July 30). HMC and gradient flow with machine-learned classically perfect fixed point actions [Poster Presentation]. Lattice 2024, Liverpool, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/208987 ( reposiTUm)

Holland, K., Ipp, A., Müller, D. I., & Wenger, U. (2024, July 26). Lattice simulations with machine-learned classically perfect fixed-point actions [Conference Presentation]. ML meets LFT 2024, Swansea University, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/210663 ( reposiTUm)

Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, July 16). Machine learning fixed point actions with lattice gauge equivariant convolutional neural networks [Presentation]. HAL QCD Collaboration Meeting 2024, RIKEN Wako, Tokio, Japan. http://hdl.handle.net/20.500.12708/208965 ( reposiTUm)

Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, July 23). Symmetries and Generalization for Machine Learning on a Lattice [Presentation]. RIKEN iTHEMS DEEP-IN Seminar 2024, RIKEN Wako, Tokio, Japan. http://hdl.handle.net/20.500.12708/208966 ( reposiTUm)

Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, May 2). Improved Fixed Point Actions from Gauge Equivariant Neural Networks [Conference Presentation]. EuCAIFCon 2024 - European AI for Fundamental Physics Conference, Amsterdam, Netherlands (the). http://hdl.handle.net/20.500.12708/208964 ( reposiTUm)

Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, April 19). Fixed point actions from lattice gauge equivariant convolutional neural networks [Conference Presentation]. Bridging scales: At the crossroads among renormalisation group, multi-scale modelling, and deep learning 2024, ECT* Trento, Italy. http://hdl.handle.net/20.500.12708/208963 ( reposiTUm)

Ipp, A., Leuthner, M., Müller, D. I., Schlichting, S., Schmidt, K., & Singh, P. (2024, August 21). Charged particle multiplicity in pp-collisions from the dilute Glasma [Conference Presentation]. The XVIth Quark Confinement and the Hadron Spectrum Conference, Cairns, Australia. http://hdl.handle.net/20.500.12708/206249 ( reposiTUm)

Schmidt, K., Ipp, A., Müller, D., Leuthner, M., Schlichting, S., & Singh, P. (2024, June 29). Student talk: The (3+1)D dilute Glasma [Presentation]. Midsummer School in QCD 2024, Saariselkä, Finland. http://hdl.handle.net/20.500.12708/199427 ( reposiTUm)

Schmidt, K., Ipp, A., Müller, D., Leuthner, M., Singh, P., & Schlichting, S. (2024, August 21). Limiting fragmentation in the dilute Glasma [Conference Presentation]. XVIth Quark Confinement and the Hadron Spectrum, Cairns, Queensland, Australia. http://hdl.handle.net/20.500.12708/201622 ( reposiTUm)

Müller, D. (2023, May 16). Applications of group and gauge equivariant neural networks to problems in lattice field theory [Poster Presentation]. HPC Workshop for Nuclear Explosion Monitoring, Vienna, Austria. ( reposiTUm)

Ipp, A., Müller, D., Schuh, D., & Favoni, M. (2023, June 27). Visualizing the inner workings of L-CNNs [Conference Presentation]. Machine learning for lattice field theory and beyond 2023, Trento, Italy. ( reposiTUm)

Boguslavski, K., Hotzy, P., & Müller, D. (2023, March). Stabilizing complex Langevin for real-time gauge theory [Poster Presentation]. 11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions: Hard Probes 2023 (HP2023), Aschaffenburg, Germany. http://hdl.handle.net/20.500.12708/193305 ( reposiTUm)

Wenger, U., Ipp, A., Müller, D., & Holland, K. (2023, June 28). Machine learning a fixed point action [Conference Presentation]. Machine learning for lattice field theory and beyond 2023, Trento, Italy. http://hdl.handle.net/20.500.12708/193366 ( reposiTUm)

Leuthner, M., Ipp, A., Müller, D., Singh, P., & Schlichting, S. (2023, June 19). 3+1D observables in the dilute Glasma [Poster Presentation]. The VII-th International Conference on the Initial Stages of High-Energy Nuclear Collisions, Kopenhagen, Denmark. http://hdl.handle.net/20.500.12708/189870 ( reposiTUm)

Leuthner, M., Müller, D., Ipp, A., Schlichting, S., & Singh, P. (2023). 3+1D energy-momentum tensor of the dilute Glasma [Presentation]. Frontiers in Nuclear and Hadronic Physics 2023, Galileo Galilei Institute, Largo Enrico Fermi 2, 50125 Firenze, Italy. http://hdl.handle.net/20.500.12708/175612 ( reposiTUm)

Müller, D. (2022, August 10). Going Beyond the Boost-Invariant Approximation in the Early Stages of Heavy-Ion Collisions [Presentation]. Washington University Theory Seminar, St. Louis, United States of America (the). ( reposiTUm)

Leuthner, M., Ipp, A., Müller, D., Schlichting, S., & Singh, P. (2022, September 29). 3+1D observables in the dilute Glasma of relativistic heavy-ion collisions [Conference Presentation]. 71st Annual Meeting of the Austrian Physical Society (ÖPG), Montanuniversität Leoben, Austria. http://hdl.handle.net/20.500.12708/139485 ( reposiTUm)

Leuthner, M., Ipp, A., Müller, D., Schlichting, S., & Singh, P. (2022, July 29). 3+1D observables in the dilute Glasma of relativistic heavy ion collisions [Conference Presentation]. 18th International Conference on QCD in Extreme Conditions, NTNU Trondheim, Norway. http://hdl.handle.net/20.500.12708/139484 ( reposiTUm)

Müller, D., Ipp, A., Schlichting, S., & Singh, P. (2022, April 6). Space-time structure of 3+1D color fields in heavy-ion collisions [Poster Presentation]. Quark Matter 2022, Krakow, Poland. http://hdl.handle.net/20.500.12708/152825 ( reposiTUm)

Aronsson, J., Müller, D., & Schuh, D. (2023). Geometrical aspects of lattice gauge equivariant convolutional neural networks. arXiv. https://doi.org/10.48550/arXiv.2303.11448 ( reposiTUm)