Search Results for author: Maximilian Mueller

Found 3 papers, 2 papers with code

Normalization Layers Are All That Sharpness-Aware Minimization Needs

1 code implementation NeurIPS 2023 Maximilian Mueller, Tiffany Vlaar, David Rolnick, Matthias Hein

Sharpness-aware minimization (SAM) was proposed to reduce sharpness of minima and has been shown to enhance generalization performance in various settings.

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations

no code implementations2 May 2022 Maximilian Mueller, Robin Greif, Frank Jenko, Nils Thuerey

We investigate uncertainty estimation and multimodality via the non-deterministic predictions of Bayesian neural networks (BNNs) in fluid simulations.

Temporal Sequences

Physics-based Deep Learning

4 code implementations11 Sep 2021 Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, Kiwon Um

This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations.

Physical Simulations reinforcement-learning +1

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