Known Operator Learning Towards Integration of Prior Knowledge into Machine Learning

The talk introduces known operator learning, a technique to incorporate prior knowledge into machine and deep learning approaches. It is compatible with virtually all other deep learning approaches and offers guaranteed reductions in maximal error bounds. The talk features some applications and ends in an outlook on how to expand on these ideas in the future. If you want to toggle between slides and video, please visit the RRZE Video Portal here: