PHYSTAT Workshop on "Statistics meets ML" in Particle Physics & Astrophysics

THEME OF MEETING:
 
In recent years, ML has become more and more integrated into many stages of our analyses.  In Particle Physics, it includes data collection and processing (triggering, tracking, etc), classification of different particle types, unfolding, parameter determination, anomaly detection, and even end-to-end processing.  In astronomy its use is increasingly widespread in areas such as classification of objects, distance determination, and regression problems.  It is used theoretically to enhance simulations