2026
Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
ICLR 2026poster
Physics-constrained generative modeling aims to produce high-dimensional samples that are both physically consistent and distributionally accurate, a task that remains challenging due to often conflicting optimization objectives. Recent advances in flow matching and diffusion models have enabled eff…