This is a mini satellite workshop of Neutrino 2020 conference. The aim of the workshop is to promote researchers to give a technical talk on their machine learning related research projects. We encourage young researchers in the neutrino physics community to participate. You are welcome to also give a verbal presentation of your poster to be presented at the Neutrino 2020 venue.
Research work presented in this satellite workshop will make important inputs to the Neutrino Physics and Machine Learning main workshop which will follow after the Neutrino 2020 conference. The aim of the main workshop is to summarize the current ML research projects in the neutrino domain science and establish the vision for the future direction of ML R&D work for maximizing the impacts in science output.
Please send your talk request at each event's indico page separately!
Please register for either of two events using the registration form.
The meeting is held over Zoom (link), and there is a slack workspace for communication.
Organization Committee [contact]
C. Adams (ANL), A. Aurisano (Cincinnati), J. Bian (UC Irvine), A. Friedland (SLAC), A. Konaka (TRIUMF), P. de Perio (TRIUMF), N. Prouse (TRIUMF), F. Psihas (FNAL), K. Terao (SLAC), M. Del Tutto (FNAL), T. Wongjirad (Tufts)