675 citations · 808 across the 7 of their papers we have counts for
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cs.LG2020★ 3 cited
Problems using deep generative models for probabilistic audio source separation
Maurice Frank, Maximilian Ilse
Recent advancements in deep generative modeling make it possible to learn prior distributions from complex data that subsequently can be used for Bayesian inference. However, we fi…
stat.ML2020★ 21 cited
Selecting Data Augmentation for Simulating Interventions
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré
Machine learning models trained with purely observational data and the principle of empirical risk minimization \citep{vapnik_principles_1992} can fail to generalize to unseen doma…