Infosys - Cambridge AI Center, DAMTP, University of Cambridge

Publications

De Crescenzo, Giovanni and Villadamigo, Javier Mariño and Elmer, Nina and Heimel, Theo and Plehn, Tilman and Winterhalder, Ramon and Zaro, Marco (2026). MadNIS at NLO. — PDF | Cite | arXiv

Bahl, Henning and Diefenbacher, Sascha and Elmer, Nina and Plehn, Tilman and Spinner, Jonas (2026). Forecasting Generative Amplification. — PDF | Cite | arXiv

Bahl, Henning and Elmer, Nina and Plehn, Tilman and Winterhalder, Ramon (2026). Amplitude Uncertainties Everywhere All at Once. — PDF | Cite | arXiv

Degenkolb, Skyler and Elmer, Nina and Modak, Tanmoy and Mühlleitner, Margarete and Plehn, Tilman (2026). A Global View of the EDM Landscape. — PDF | Cite | arXiv

Bahl, Henning and Elmer, Nina and Favaro, Luigi and Haussmann, Manuel and Plehn, Tilman and Winterhalder, Ramon (2025). Accurate surrogate amplitudes with calibrated uncertainties. — PDF | Cite | arXiv

Elmer, Nina Marie (2025). Bridging Theory and Data — Uncertainty-Aware Analyses for the LHC and Beyond. — PDF | Cite | arXiv

Elmer, Nina and Madigan, Maeve and Plehn, Tilman and Schmal, Nikita (2023). Staying on Top of SMEFT-Likelihood Analyses. — PDF | Cite | arXiv

Brivio, Ilaria and Bruggisser, Sebastian and Elmer, Nina and Geoffray, Emma and Luchmann, Michel and Plehn, Tilman (2022). To profile or to marginalize - A SMEFT case study. — PDF | Cite | arXiv