2025
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
NeurIPS 2025poster
Deep generative models have recently been applied to physical systems governed by partial differential equations (PDEs), offering scalable simulation and uncertainty-aware inference. However, enforcing physical constraints, such as conservation laws (linear and nonlinear) and physical consistencies,…