arxivcs.AIcs.LG2026-07-02
SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
Tomoshi Iiyama, Masahiro Suzuki, Yutaka Matsuo
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 chunking or simil…