ELPIS lab
ELPIS lab
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Mark van der Wilk
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Bayesian neural network priors revisited
Data augmentation in Bayesian neural networks and the cold posterior effect
Invariance learning in deep neural networks with differentiable Laplace approximations
A Bayesian Approach to Invariant Deep Neural Networks
BNNpriors: A library for Bayesian neural network inference with different prior distributions
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