arXiv cs.AI
· Papers
SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
arXiv:2607.02087v2 Announce Type: replace Abstract: Hierarchical state-space models (HSSMs) offer a promising approach to long-horizon prediction by segmenting sequences into temporal chunks. However, their performance hinges on how chunk boundaries are determined. While prior HSSMs typically rely on fixed-length chunk