RD-JEPA: Predictive latent pretraining for few-trajectory transfer across reaction--diffusion equations

Learning surrogates for time-dependent partial differential equations often requires a new simulation corpus when the governing operator changes. We introduce RD-JEPA, a joint-embedding predictive architecture for self-supervised pretraining on reaction-diffusion trajectories. A single model is pret