Physics-based Deep Learning N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um arXiv preprint arXiv:2109.05237, 2021 | 112 | 2021 |
A modern look at the relationship between sharpness and generalization M Andriushchenko, F Croce, M Müller, M Hein, N Flammarion ICML 2023, 2023 | 31 | 2023 |
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation J Bitterwolf*, M Mueller*, M Hein ICML 2023, 2023 | 27 | 2023 |
Normalization Layers Are All That Sharpness-Aware Minimization Needs M Mueller, T Vlaar, D Rolnick, M Hein NeurIPS 2023, 2023 | 6* | 2023 |
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations M Mueller, R Greif, F Jenko, N Thuerey NeurIPS 2022 workshop: Machine Learning and the Physical Sciences, 2022 | 5 | 2022 |
Fast evaluation of the current driven by electron cyclotron waves for reactor studies E Poli, M Müller, H Zohm, M Kovari Physics of Plasmas 25 (12), 122501, 2018 | 2 | 2018 |
Simplified Calculation of Electron Cyclotron Current Drive Efficiency in Reactor-size Plasmas M Müller Ludwig-Maximilians-Universität München München, 2018 | | 2018 |