Latent Laplace Diffusion for Irregular Multivariate Time Series 事件

Latent Laplace Diffusion for Irregular Multivariate Time Series arXiv:2605.19805v2 Announce Type: replace-cross Abstract: Irregular multivariate time series impose a trade-off for long-horizon forecasting: discrete methods can distort temporal structure via re-gridding, while continuous-time models often require sequential solvers prone to drift. To bridge this gap, we present Latent Laplace Diffusion (LLapDiff), a generative framework that models the target as a low-dimensional latent trajecto