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Barely Biased Learning for Gaussian Process Regression

Bayesian Neural Network Priors Revisited

Data augmentation in Bayesian neural networks and the cold posterior effect

GPflux: A Library for Deep Gaussian Processes

Last Layer Marginal Likelihood for Invariance Learning

A Framework for Interdomain and Multioutput Gaussian Processes

Capsule Networks -- A Probabilistic Perspective

Design of Experiments for Verifying Biomolecular Networks

On the Benefits of Invariance in Neural Networks

Variational Orthogonal Features