Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Simulation-Free Learning of GP-SDEs from Irregular Observations
Zhidi Lin, Yuhao Liu, Ying Li +2
Gaussian process stochastic differential equations (GP-SDEs) provide a flexible Bayesian model for unknown continuous-time state dynamics with uncertainty quantification, but learn…
cs.LG2024
Scalable Random Feature Latent Variable Models
Ying Li, Zhidi Lin, Yuhao Liu +3
Random feature latent variable models (RFLVMs) represent the state-of-the-art in latent variable models, capable of handling non-Gaussian likelihoods and effectively uncovering pat…