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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 61–70 of 87 papers

TitleStatusHype
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics—0
FactorBase: SQL for Learning A Multi-Relational Graphical Model—0
Feature Recommendation for Structural Equation Model Discovery in Process Mining—0
Fully differentiable model discovery—0
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations—0
GPTIPS 2: an open-source software platform for symbolic data mining—0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Discovering PDEs from Multiple ExperimentsCode0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
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