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ENTITY probabilistic modeling

probabilistic modeling

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

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  1. RESEARCH · CL_93670 ·

    New MCMC method uses neural nets to adaptively stop sampling

    Researchers have developed a new framework that uses neural classifiers to adaptively determine when to stop sampling in Markov chain Monte Carlo (MCMC) methods. This approach, framed within Generative Flow Networks (GF…

  2. RESEARCH · CL_02858 ·

    New research connects ultrametric OGP and parametric RDT for binary perceptrons

    This paper introduces the Ultrametric Overlap Gap Property (OGP) framework to analyze symmetric binary perceptrons. Researchers developed a union-bounding program combining combinatorial and probabilistic methods to est…