2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
NeurIPS 2024poster
In long-term time series forecasting (LTSF) tasks, an increasing number of works have acknowledged that discrete time series originate from continuous dynamic systems and have attempted to model their underlying dynamics. Recognizing the chaotic nature of real-world data, our model, Attraos, incorpo…