Device and Computer-Implemented Methods for Machine Learning, for Providing a Machine Learning System, or for Operating a Technical System

Abstract
A device and a computer-implemented method for machine learning. The method includes: providing a latent variable of a diffusion model representing the synthetic digital image, wherein providing the latent variable comprises sampling the latent variable from random noise, or providing a digital reference image, and adding noise with the diffusion model to the digital reference image to determine the latent variable, or mapping the digital reference image with an encoder to an input of the diffusion model, and adding noise with the diffusion model to the input to determine the latent variable, mapping the latent variable with the diffusion model depending on parameters of the diffusion model to features of the diffusion model, mapping the features with the diffusion model depending on parameters of the diffusion model to an output of the diffusion model.