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
Global Deep Forecasting with Patient-Specific Pharmacokinetics
Willa Potosnak, Cristian Challu, Kin G. Olivares +2
Forecasting healthcare time series data is vital for early detection of adverse outcomes and patient monitoring. However, it can be challenging in practice due to variable medicati…