Y. Ashida

Renormalization Group Flow Matching for Scalable Local Generative Modeling

Despite their remarkable success in modeling complex data, generative models face a fundamental tradeoff. Global approaches can capture full structural coherence but suffer from high computational costs, while local models are efficient but often fail to reproduce long-range correlations and global coherence. The renor...