2026
Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception
AAAI 2026technical
Despite the remarkable success of semantic token learning in NLP and vision domains, token-level representation mechanisms face fundamental challenges when extended to continuous time series analysis. We identify a core limitation lies in the intrinsic absence of semantically meaningful tokenization