Infosys - Cambridge AI Center, DAMTP, University of Cambridge
Profile

Publications

Bahl, Henning and Diefenbacher, Sascha and Elmer, Nina and Plehn, Tilman and Spinner, Jonas (2025). Forecasting Generative Amplification. — PDF | Cite | arXiv

Bahl, Henning and Elmer, Nina and Plehn, Tilman and Winterhalder, Ramon (2025). Amplitude Uncertainties Everywhere All at Once. — PDF | Cite | arXiv

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

Bahl, Henning and Elmer, Nina and Favaro, Luigi and Haußmann, Manuel and Plehn, Tilman and Winterhalder, Ramon (2024). Accurate Surrogate Amplitudes with Calibrated Uncertainties. — PDF | Cite | arXiv

Degenkolb, Skyler and Elmer, Nina and Modak, Tanmoy and Mühlleitner, Margarete and Plehn, Tilman (2024). A Global View of the EDM Landscape. — 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