QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting
This work introduces a novel sampling-conditioned temporal manifold attention mechanism that maps real timestamps into a learnable temporal manifold feature space and injects temporal manifold biases into attention layers, enabling the model to capture both irregular time intervals and local sampling structures.