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Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, and Oliver Dürr improved subspace inference in Bayesian neural networks by identifying pitfalls and proposing a more natural prior that better guides the sampling procedure.

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