The paper introduces a general framework for modality translation using latent diffusion bridges, enabling translation across arbitrary modalities without shared dimensions

Learning representations on a latent space from observed and structured solutions through a differentiable constrained optimization problem

We introduce CALM-PDE, a model based on continuous convolution for discretization-agnostic solving of time-dependent partial differential equations, which achieves strong performance in fluid dynamics simulations.