Hybrid rotation-equivariant neural network plus low-rank regularization solves 2D inverse medium scattering beyond the Born approximation.
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2026 2verdicts
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Asymptotic-preserving neural networks infer viscoelastic parameters and reconstruct blood vessel state evolution from accessible ultrasound data in multiscale arterial flow models.
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Inverse scattering beyond Born approximation via rotation-equivariance-aware neural network and low-rank structure
Hybrid rotation-equivariant neural network plus low-rank regularization solves 2D inverse medium scattering beyond the Born approximation.
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Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
Asymptotic-preserving neural networks infer viscoelastic parameters and reconstruct blood vessel state evolution from accessible ultrasound data in multiscale arterial flow models.