Johannes Brandstetter
Johannes Brandstetter
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Geometry-Informed Neural Networks
We introduce geometry-informed neural networks (GINNs) to train shape generative models without any data.
Lie Point Symmetries and Physics-Informed Networks
We present how to use Lie Point Symmetries of PDEs to improve physics-informed neural networks. Published at NeurIPS 2023.
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