LETS Forecast: Learning Embedology for Time Series Forecasting

ArXi:2506.06454v2 Announce Type: cross Real-world time series are often governed by complex nonlinear dynamics. Understanding these underlying dynamics is crucial for precise future prediction. While deep learning has achieved major success in time series forecasting, many existing approaches do not explicitly model the dynamics. To bridge this gap, we