HRE-PINN represents PDE solutions with a hierarchical tensor network and sparse rank-evolving vectors, reporting accuracy gains over SPINN, TT-PINN, and Tucker-PINN across five benchmarks.
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Hierarchical rank-evolving representation for physics-informed neural networks
HRE-PINN represents PDE solutions with a hierarchical tensor network and sparse rank-evolving vectors, reporting accuracy gains over SPINN, TT-PINN, and Tucker-PINN across five benchmarks.