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iml-wg / HEP-ML-Resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
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W boson and top tagging paper #32

Open jwsmithers opened 6 years ago

jwsmithers commented 6 years ago

Came across this one that can be added as well: http://cdsweb.cern.ch/record/2259646

matthewfeickert commented 4 years ago

I've noticed that this PUB Note doesn't have an INSPIRE-HEP link, which is part of the criteria that I'm currently using for adding it to the listing. @jwsmithers, this is literally years after you opened this Issue, but do you know if a version of this ever made it out to INSPIRE-HEP as another paper? If not, I also don't see it on the ATLAS Machine Learning Forum's website page for listings of Public Papers and Notes, so maybe that might be a better location for it.

jwsmithers commented 4 years ago

oh man, nope, I have no idea 😄 I would say put it in that new link.

dguest commented 4 years ago

We should add pub notes to this listing. By their nature they aren't intended to have a paper as a followup, but they are of far higher quality than the majority of the papers listed here.

dguest commented 4 years ago

@matthewfeickert, these notes might not have an INSPIRE link but I think we have little choice but to break that convention in this case. Any survey of modern machine learning techniques in high energy physics should certainly include references to what experiments are actually using. Unfortunately there are very few cases where the collaborations publish externally reviewed papers.