Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting 事件

Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting arXiv:2603.02220v2 Announce Type: replace-cross Abstract: Time series forecasting remains a challenging problem due to the intricate entanglement of intra-period fluctuations and inter-period trends. While recent advances have attempted to reshape 1D sequences into 2D period-phase representations, they suffer from two principal limitations. Firstly, treating reshaped tensors as static images results in a top