L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting 事件

L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting arXiv:2605.17730v2 Announce Type: replace-cross Abstract: Mainstream methods for multivariate time-series forecasting largely follow the Direct-Mapping paradigm. They learn a unified mapping from history to the future in the observation space to fit value-level dependencies. However, real-world systems often undergo distribution shifts and regime changes. In such cases, a unified mapping can exhibit response lag arou