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Title: A Lorentz-equivariant transformer for all of the LHC
We show that the Lorentz-Equivariant Geometric Algebra Transformer (L-GATr) yields state-of-the-art performance for a wide range of machine learning tasks at the Large Hadron Collider. L-GATr represents data in a geometric algebra over space-time and is equivariant under Lorentz transformations. The underlying architecture is a versatile and scalable transformer, which is able to break symmetries if needed. We demonstrate the power of L-GATr for amplitude regression and jet classification, and then benchmark it as the first Lorentz-equivariant generative network. For all three LHC tasks, we find significant improvements over previous architectures.  more » « less
Award ID(s):
2019786
PAR ID:
10648150
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
SciPost
Date Published:
Journal Name:
SciPost Physics
Volume:
19
Issue:
4
ISSN:
2542-4653
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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