J. Lin

activity

20182023

most citedLarge-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant

32 citations · 87 across the 11 of their papers we have counts for

collaborators

Showing hep-phShow all

2 papers · 1 filter

hep-ph2019★ 23 cited

Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model

Joshua Lin, Wahid Bhimji, Benjamin Nachman

High-multiplicity all-hadronic final states are an important, but difficult final state for searching for physics beyond the Standard Model. A powerful search method is to look for…

hep-ph2018

Boosting $H \to b b ˉ$ with Machine Learning

Joshua Lin, Marat Freytsis, Ian Moult +1

High $p_{T}$ Higgs production at hadron colliders provides a direct probe of the internal structure of the $g g \to H$ loop with the $H \to b b ˉ$ decay offering the most statistic…

Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model

Boosting H→bbˉ with Machine Learning

Boosting $H \to b b ˉ$ with Machine Learning