DL-PDE combines neural-network-based derivative estimation, synthetic meta-data generation, and sparse regression to recover PDEs from noisy, limited, discrete observations.
Schaeffer, Learning partial differential equations via data discovery and sparse optimization, Proc
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DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data
DL-PDE combines neural-network-based derivative estimation, synthetic meta-data generation, and sparse regression to recover PDEs from noisy, limited, discrete observations.