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A Renormalization-Group Hierarchy of Stochastic Effective Dynamics Learned through Path Integrals
This study combines a stochastic renormalization group (RG) in space with a path-integral description of the time evolution, giving a spatial hierarchy of coarse-grained dynamics together with the distribution over spatiotemporal paths. The RG is defined as a diffusion process that applies scale-dep
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