| Moduli-dependent Calabi-Yau and SU (3)-structure metrics from Machine Learning LB Anderson, M Gerdes, J Gray, S Krippendorf, N Raghuram, F Ruehle Journal of High Energy Physics 2021 (5), 1-45, 2021 | 68 | 2021 |
| CYJAX: A package for Calabi-Yau metrics with JAX M Gerdes, S Krippendorf Machine Learning: Science and Technology 4 (2), 025031, 2023 | 12 | 2023 |
| Learning lattice quantum field theories with equivariant continuous flows M Gerdes, P de Haan, C Rainone, R Bondesan, MCN Cheng SciPost Physics 15 (6), 238, 2023 | 10* | 2023 |
| Albatross: a scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way J Alvey, M Gerdes, C Weniger Monthly Notices of the Royal Astronomical Society 525 (3), 3662-3681, 2023 | 7 | 2023 |
| Albatross: Stellar stream parameter inference with neural ratio estimation J Alvey, M Gerdes, C Weniger Astrophysics Source Code Library, ascl: 2306.009, 2023 | 1 | 2023 |
| sstrax: Fast stellar stream modelling in JAX J Alvey, M Gerdes, C Weniger Astrophysics Source Code Library, ascl: 2306.008, 2023 | 1 | 2023 |
| Deep Learning Calabi-Yau Metrics M Gerdes Ludwig-Maximilians-Universität München, 2020 | 1 | 2020 |
| Analyzing the Transverse Profile of Self-Modulated Proton Bunches at AWAKE M Gerdes | | 2018 |
| A Mechanized Investigation of an Axiomatic System for Minkowski Spacetime M Gerdes | | |
