The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Abstract: In recent years, Variational Autoencoders (VAEs) have attracted considerable interest due to their capability to generate high-fidelity data while safeguarding user privacy through ...
Abstract: Deep Gaussian process (DGP) models offer a powerful nonparametric approach for Bayesian inference, but exact inference is typically intractable, motivating the use of various approximations.
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