Symmetries in Deep Learning

Sebastian discusses the importance of not imposing symmetries in deep learning models until they are certain they exist. He contrasts exact symmetries like protein structures with the need for translation invariance in object recognition, shedding light on the evolving landscape of geometric deep learning.