Orateur
Joaquín Iturriza Ramirez
(Lpnhe)
Description
Fast and precise evaluations of scattering amplitudes even in the case of precision calcu-
lations is essential for event generation tools at the HL-LHC. We explore the scaling behav-
ior of the achievable precision of neural networks in this regression problem for multiple
architectures, including a Lorentz symmetry aware multilayer perceptron and the L-GATr
architecture. L-GATr is equivariant with respect to the Lorentz group by its internal em-
bedding living in the geometric algebra defined by the flat space-time metric. This study
addresses in particular the scaling behavior of uncertainty estimations using state of the
art methods.
Auteurs
Anja Butter
Bertrand Laforge
Henning Bahl
Joaquín Iturriza Ramirez
(Lpnhe)
Víctor Bresó Pla
