A neural process with a bi-Lipschitz-regularized local encoder achieves better uncertainty calibration and OOD detection than existing NP variants.
Meta-learning stationary stochastic process prediction with convolutional neural processes
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Distance-informed Neural Processes
A neural process with a bi-Lipschitz-regularized local encoder achieves better uncertainty calibration and OOD detection than existing NP variants.