Tomasz Procter

Enabling stable preservation of ML algorithms in high-energy physics with petrifyML

Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data analyses. Scientific reproducibility thus requires that it be possible to accurately and stably pres...