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Spatial Functa: Scaling Functa to ImageNet Classification and Generation


Feb 09, 2023
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Richard Schwarz, Hyunjik Kim

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Regularising for invariance to data augmentation improves supervised learning


Mar 07, 2022
Aleksander Botev, Matthias Bauer, Soham De

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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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Interpretable and Differentially Private Predictions


Jun 05, 2019
Frederik Harder, Matthias Bauer, Mijung Park

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Resampled Priors for Variational Autoencoders


Oct 26, 2018
Matthias Bauer, Andriy Mnih

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