Abstract: A device, a machine learning system and a method for determining a velocity of a vehicle. The method includes providing an input for a first generative model depending on a route information, a probabilistic variable, including noise, and an output of a second physical model, determining an output of the first model in response to the input for the first model. The output of the first model characterizes the velocity. The first model comprises a first component that is trained to map input for the first model determined depending on the route information and the probabilistic variable to intermediate output for the velocity of the vehicle. The first model comprises a second component that is trained to map the intermediate output to the velocity depending on the output of the second model. The output of the second model characterizes a physical constraint for the velocity or for the intermediate output.