Zhifan Jiang

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting

Current methods for time series forecasting struggle in the online scenario, since it is difficult to preserve long-term dependency while adapting short-term changes when data are arriving sequentially. Although some recent methods solve this problem by controlling the updates of latent states, they…