Web: http://arxiv.org/abs/2205.01222

May 4, 2022, 1:11 a.m. | Maximilian Mueller, Robin Greif, Frank Jenko, Nils Thuerey

cs.LG updates on arXiv.org arxiv.org

We investigate uncertainty estimation and multimodality via the
non-deterministic predictions of Bayesian neural networks (BNNs) in fluid
simulations. To this end, we deploy BNNs in three challenging experimental
test-cases of increasing complexity: We show that BNNs, when used as surrogate
models for steady-state fluid flow predictions, provide accurate physical
predictions together with sensible estimates of uncertainty. Further, we
experiment with perturbed temporal sequences from Navier-Stokes simulations and
evaluate the capabilities of BNNs to capture multimodal evolutions. While our
findings indicate …

arxiv bayesian networks neural neural networks physics predictions simulations stochastic

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