2 papers
cs.LG2026
KoopGen: Koopman Generator Networks for Representing and Predicting Dynamical Systems with Continuous Spectra
Liangyu Su, Jun Shu, Rui Liu +2
Representing and predicting high-dimensional and spatiotemporally chaotic dynamical systems remains a fundamental challenge in dynamical systems and machine learning. Although data…
cs.LG2025
A Time-Series Foundation Model by Universal Delay Embedding
Zijian Wang, Peng Tao, Jifan Shi +3
This study introduces Universal Delay Embedding (UDE), a pretrained foundation model designed to revolutionize time-series forecasting through principled integration of delay embed…