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ENTITY Wolfenstein parameters

Wolfenstein parameters

PulseAugur coverage of Wolfenstein parameters — every cluster mentioning Wolfenstein parameters across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_180850 ·

    New technique uses Normalizing Flows for efficient multi-modal posterior estimation

    Researchers have developed a new method for amortized posterior estimation using Normalizing Flows trained with likelihood-weighted importance sampling. This technique efficiently infers theoretical parameters in high-d…