Iclr2026_worshop

Two papers, “Status-Aware Self-Supervised Forecasting for Irregular Clinical Time Series” and “Structure-Aware Set Transformers: Temporal and Variable-type Attention Biases for Asynchronous Clinical Time Series,” have been accepted to the ICLR 2026 Time Series in the Age of Large Models Workshop.