Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
The proposed Geometry-aware Latent Autoregressive generative Model for PDEs (GeoLAMP) introduces a dual-encoder architecture on graph representations to jointly capture global topology and fine-scale geometric features, enabling an effective transition from real-space fields to compact latent representations.