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Results: 6
Number of items: 6
  • Open Access
    Gerdes, M., de Haan, P., Bondesan, R., & Cheng, M. C. N. (2025). Nonperturbative trivializing flows for lattice gauge theories. Physical Review D, 112(9), Article 094516. https://doi.org/10.1103/31d5-hvp6
  • Open Access
    Gerdes, M. (2025). Generative models and theoretical physics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Gerdes, M., & Krippendorf, S. (2023, March 14). CYJAX: A package for Calabi-Yau metrics with JAX [data & figures] [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7733547
  • Gerdes, M., de Haan, P., Rainone, C., Bondesan, R., & Cheng, M. C. N. (2023, January 18). Data: Learning Lattice Quantum Field Theories with Equivariant Continuous Flows [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7547918
  • Open Access
    Alvey, J., Gerdes, M., & Weniger, C. (2023). Albatross: a scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way. Monthly Notices of the Royal Astronomical Society, 525(3), 3662-3681. https://doi.org/10.1093/mnras/stad2458
  • Open Access
    Gerdes, M., de Haan, P., Rainone, C., Bondesan, R., & Cheng, M. C. N. (2023). Learning lattice quantum field theories with equivariant continuous flows. SciPost Physics, 15(6), Article 238. https://doi.org/10.21468/SciPostPhys.15.6.238
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