Current status of the best pileup subtraction algorithms, PUPPI and SoftKiller, by the original authors.
(pruning, soft drop, theory), + W,top,H tagging, boosted (theory)
What would it take experimentally to get the top quark mass uncertainty to 0.2 GeV with 100 fb-1? Advanced NLOxPS generators, better PS model such as Vincia, new methods, Z+b response? Data-based flavor responses, better use of W->qq' mass peak, 3D R_bq from ATLAS?
Review on what are we measuring with the top quark mass (MC mass), how it is related to theory (pole mass, MSbar mass), and how we could strengthen the link between theory and experiment when experimental precision reaches 0.2 GeV.
Introduction to the work and goals of IML, and how this ties to JetMET work.
State-of-the art in quark (and gluon) flavor discrimination with deep neural networks at CMS.