This post accompanies a poster to be presented at the MLSS 2024. Physics likes optimization! Subject to its boundary conditions, the time evolution of a physical system is a critical point for a quantity called an action. This point of view sets the stage for Noether's principle, a remarkable correspondence between continuous invariances of the action and conservation laws of the system. In machine learning, we often deal with discrete "processes" whose control parameters are chosen to minimize ...