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ENTITY machine-learning-based uncertainty quantification frameworks

machine-learning-based uncertainty quantification frameworks

PulseAugur coverage of machine-learning-based uncertainty quantification frameworks — every cluster mentioning machine-learning-based uncertainty quantification frameworks across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_204330 ·

    New framework uses local Sinkhorn divergence for random field reconstruction

    Researchers have introduced a new framework utilizing local Sinkhorn divergence for reconstructing conditional distributions in multidimensional random fields. This approach enables the training of stochastic neural net…