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Project B07: Automated model building and representation learning for multiscale simulations

Project B7 addresses applications of machine learning techniques to multi-scale simulation of soft-matter systems. Multi-scale methods address the problem that the complexity of...

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  • Projects - B: Particle based coarse-graining and mixed resolution schemes
    • Project B07: Automated model building and representation learning for multiscale simulations
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  • TRR 146:... - 1

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  • 3d point clouds - 1
  • compression - 1
  • deep learning - 1
  • efficiency - 1
  • equivariance - 1

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1 dataset found

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  • Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature...

    A paper that describes how to speed-up deep learning on 3D point clouds with (G-)CNNs by compressing its linear representation layers by a local partial symmetry analysis.
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    Uni Mainz
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