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Current Methods for Drug Property Prediction in the Real World

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Barely Biased Learning for Gaussian Process Regression

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GPflux: A Library for Deep Gaussian Processes

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A Framework for Interdomain and Multioutput Gaussian Processes

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Capsule Networks -- A Probabilistic Perspective

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On the Benefits of Invariance in Neural Networks

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Variational Orthogonal Features

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Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial

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