arXiv:2511.05350v3 Announce Type: replace-cross Abstract: We argue that training autoencoders to reconstruct inputs from noised versions of their encodings, when combined with perceptually motivated losses, yields encodings that are structured according to a perceptual hierarchy. We demonstrate the emergence of this hierarchy by showing that,…
Thank you for reading this post, don't forget to subscribe!
Source: cs.AI updates on arXiv.org
Automatically aggregated summary — full article and all rights belong to the original publisher.