1 code implementation • 18 Mar 2020 • Lindsey Gray, Thomas Klijnsma, Shamik Ghosh
Classifying whole images is a classic problem in machine learning, and graph neural networks are a powerful methodology to learn highly irregular geometries.
no code implementations • 12 Aug 2018 • Shamik Ghosh, Abhirami Harilal, A. R. Sahasransu, Ritesh Kumar Singh, Satyaki Bhattacharya
In a hadron collider environment identification of prompt photons originating in a hard partonic scattering process and rejection of non-prompt photons coming from hadronic jets or from beam related sources, is the first step for study of processes with photons in final state.