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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 11–20 of 87 papers

TitleStatusHype
SODAs: Sparse Optimization for the Discovery of Differential and Algebraic EquationsCode0
AutoToM: Automated Bayesian Inverse Planning and Model Discovery for Open-ended Theory of MindCode2
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and BeyondCode1
A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—0
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model DiscoveryCode1
Towards Model Discovery Using Domain Decomposition and PINNsCode0
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