Meta-learning over neural topology optimization learns initial designs that speed up convergence, yet a simpler strain-energy pretraining baseline outperforms it.
A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
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Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning
Meta-learning over neural topology optimization learns initial designs that speed up convergence, yet a simpler strain-energy pretraining baseline outperforms it.