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20232026
most citedAnomalous electroweak physics unraveled via evidential deep learning

2 citations · 3 across the 9 of their papers we have counts for

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hep-ph2024★ 2 cited

Anomalous electroweak physics unraveled via evidential deep learning

Brandon Kriesten, T. J. Hobbs

The growth in beyond standard model (BSM) models and parametrizations has placed strong emphasis on systematically intercomparing within the range of possible models with controlle…

hep-ph2024

Quantum entropy and QCD factorization for low- DIS

Henry Bloss, Brandon Kriesten, T. J. Hobbs

Deeply inelastic scattering (DIS) is an essential process for exploring the structure of visible matter and testing the standard model. At the same time, the theoretical interpreta…

hep-ph2024★ 1 cited

Explainable AI classification for parton density theory

Brandon Kriesten, Jonathan Gomprecht, T. J. Hobbs

Quantitatively connecting properties of parton distribution functions (PDFs, or parton densities) to the theoretical assumptions made within the QCD analyses which produce them has…