Contributor info: Dr Matthias Komm

Matthias Komm, on behalf of the ATLAS and CMS collaborations

SciPost Phys. Proc. 18, 002 (2026) · published 29 January 2026 | Toggle abstract · pdf

This note presents an overview of current and potential future applications of machine-learning-based techniques in the study of the top quark. The research community has developed a diverse set of ideas and tools, including algorithms for the efficient reconstruction of recorded collision events and innovative methods for statistical inference. Recent applications of some techniques by the ATLAS and CMS collaborations are also highlighted.