Publications

Henning Bahl, Nina Elmer, Luigi Favaro, Manuel Haußmann, Tilman Plehn, Ramon Winterhalder (2024). Accurate Surrogate Amplitudes with Calibrated Uncertainties.
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Theo Heimel, Olivier Mattelaer, Tilman Plehn, Ramon Winterhalder (2024). Differentiable MadNIS-Lite.
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Theo Heimel, Nathan Huetsch, Fabio Maltoni, Olivier Mattelaer, Tilman Plehn, Ramon Winterhalder (2024). The MadNIS reloaded. SciPost Phys.17, 023.
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Stefan Dittmaier, Christopher Schwan, Ramon Winterhalder (2024). Full and approximated NLO predictions for like-sign W-boson scattering at the LHC. PoS.
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J. M. Campbell, Others (2024). Event generators for high-energy physics experiments. SciPost Phys..
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Theo Heimel, Nathan Huetsch, Ramon Winterhalder, Tilman Plehn, Anja Butter (2023). Precision-Machine Learning for the Matrix Element Method.
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Theo Heimel, Ramon Winterhalder, Anja Butter, Joshua Isaacson, Claudius Krause, Fabio Maltoni, Olivier Mattelaer, Tilman Plehn (2023). MadNIS - Neural multi-channel importance sampling. SciPost Phys..
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Simon Badger, Others (2023). Machine learning and LHC event generation. SciPost Phys..
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Stefan Dittmaier, Philipp Maierhöfer, Christopher Schwan, Ramon Winterhalder (2023). Like-sign W-boson scattering at the LHC — approximations and full next-to-leading-order predictions. JHEP.
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Benjamin Nachman, Ramon Winterhalder (2023). Elsa: enhanced latent spaces for improved collider simulations. Eur. Phys. J. C.
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