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Matthias Bauer

Laplace Redux -- Effortless Bayesian Deep Learning

Jun 28, 2021
Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig

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* Source Code: https://github.com/AlexImmer/Laplace; Library Documentation: https://aleximmer.github.io/Laplace/

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Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

May 11, 2021
Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Mohammad Emtiyaz Khan

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* Accepted for publication at ICML 2021

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Generalized Doubly Reparameterized Gradient Estimators

Jan 26, 2021
Matthias Bauer, Andriy Mnih

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Improving predictions of Bayesian neural networks via local linearization

Aug 19, 2020
Alexander Immer, Maciej Korzepa, Matthias Bauer

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* ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning

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Resampled Priors for Variational Autoencoders

Oct 26, 2018
Matthias Bauer, Andriy Mnih

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