AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A renormalization-group (RG) guided machine-learning algorithm for lattice field generation based on approximate inversion of an RG transformation based on approximate inversion of an RG transformation is introduced.
An algorithm for generating lattice field configurations based on the approximate inversion of a renormalization-group blocking transformation using a ``perfect blocking''condition so that the blocked lattice distribution is well approximated by a simple coarse action.
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