Francesco Regazzoni

Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks

This work infer the initial latent state directly from a small set of early-time observations, treating latent-state initialization as an adaptation problem, and investigates two strategies: an auto-decoding formulation and a meta-learning approach in which the initial latent state acts as a task-specific context varia...