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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 11–20 of 87 papers

TitleStatusHype
Physics-informed learning of governing equations from scarce dataCode1
Bayesian differential programming for robust systems identification under uncertaintyCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models—0
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)Code0
Bi-Level optimization for parameter estimation of differential equations using interpolationCode0
Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems—0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers—0
Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency—0
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