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ENTITY SCALABLE Likelihood distillation of flOw maPs

SCALABLE Likelihood distillation of flOw maPs

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  1. RESEARCH · CL_117197 ·

    New SCALLOP method speeds up Boltzmann generators by 10x

    Researchers have developed SCAlable LikeLihood distillation of flOw maPs (SCALLOP), a new method for training Boltzmann generators. This approach builds upon the F2D2 model but introduces a more scalable, Hutchinson-fre…