1.3k citations · 15.6k across the 202 of their papers we have counts for
10 papers · 1 filter
Probing the Inflaton Potential with SKA
Tanmoy Modak, Tilman Plehn, Lennart Röver +1
SKA will be a major step forward not only in astrophysics, but also in precision cosmology. We show how the neutral hydrogen intensity map can be combined with the Planck measureme…
Targeting Multi-Loop Integrals with Neural Networks
Ramon Winterhalder, Vitaly Magerya, Emilio Villa +5
Numerical evaluations of Feynman integrals often proceed via a deformation of the integration contour into the complex plane. While valid contours are easy to construct, the numeri…
Generative Networks for Precision Enthusiasts
Anja Butter, Theo Heimel, Sander Hummerich +4
Generative networks are opening new avenues in fast event generation for the LHC. We show how generative flow networks can reach percent-level precision for kinematic distributions…
Back to the Formula -- LHC Edition
Anja Butter, Tilman Plehn, Nathalie Soybelman +1
While neural networks offer an attractive way to numerically encode functions, actual formulas remain the language of theoretical particle physics. We show how symbolic regression…
Symmetries, Safety, and Self-Supervision
Barry M. Dillon, Gregor Kasieczka, Hans Olischlager +3
Collider searches face the challenge of defining a representation of high-dimensional data such that physical symmetries are manifest, the discriminating features are retained, and…
From Models to SMEFT and Back?
Ilaria Brivio, Sebastian Bruggisser, Emma Geoffray +5
We present a global analysis of the Higgs and electroweak sector, in the SMEFT framework and matched to a UV-completion. As the UV-model we use the triplet extension of the electro…