Abstract: This paper proposes a coarse-to-fine matching framework integrating physical priors with probabilistic optimization: First, a physically parameter-driven ...

Abstract: Understanding how global trade works is important for shaping good economic policies and making accurate forecasts. However, many existing methods still struggle to capture the full picture, ...