ELPIS lab
ELPIS lab
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Mark van der Wilk
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Rethinking the Role of Bayesianism in the Age of Modern AI (Dagstuhl Seminar 24461)
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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