2 papers
cs.LG2026
Non-Stationarity in the Embedding Space of Time Series Foundation Models
Jinmyeong Choi, Brad Shook, Artur Dubrawski
Time series foundation models (TSFMs) are widely used as generic feature extractors, yet the notion of non-stationarity in their embedding spaces remains poorly understood. Recent…
cs.LG2025
STAMP: Spatial-Temporal Adapter with Multi-Head Pooling
Brad Shook, Abby Turner, Jieshi Chen +4
Time series foundation models (TSFMs) pretrained on data from multiple domains have shown strong performance on diverse modeling tasks. Various efforts have been made to develop fo…