Thermal simulation of the ITk Pixel inner system (Kaitlyn Morrison)

A reconfigurable Neural Network ASIC for front-end data compression at HL-LHC (Mark Farino)

WWZ triboson production (Samuel Kramer)

Deep learning implementation for primary vertex reconstruction in LHCb (Joshua O'Cain)

Performing a RIVET analysis for charged jet cross sections and fragmentations in pp collisions at sqrt{s}=7TeV (Justin Piel)

Analyzing sensitivity to a long-lived particle decay at ATLAS (Rachel Steinhorst)

Impact of fake track rejection on large-R UFO jet reconstruction and developing a DNN to improve clustering at high pT (Kate Sturge)

A GNN-based search for di-Higgs production in the HH->gamma gamma+X(not bb) decay channel (Lucas Ehinger)

Boosted semi-visible jets and impacts of dead Si wafers on the CMS HGCAL (Hannah Anderson)

Machine learning applied to VBF-produced Higgs boson invisible decays (Luke Grossman)

A machine learning approach to local hadronic calibration in the ATLAS calorimeters (Madison Howard)

L1 trigger upgrade: ML model for MET (Han Hiller)

Model independent ML search for new physics (Kasia Krzyzanska)

Simulation of particle trajectories in the Mu2e detector solenoid (Magdalen Norland)