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Bayesian Meta-Learning for Few-Shot 3D Shape Completion
Estimating the 3D shape of real-world objects is a key perceptual challenge.
Meta Learning as Bayes Risk Minimization
However, the posterior distribution in Neural Process violates the way the posterior distribution changes with the contextual dataset.
Graph Residual Flow for Molecular Graph Generation
Statistical generative models for molecular graphs attract attention from many researchers from the fields of bio- and chemo-informatics.
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