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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 1–25 of 87 papers

TitleStatusHype
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
Optimizing Hard Thresholding for Sparse Model Discovery—0
Discovering dynamical laws for speech gestures—0
Coordinated Ramp Metering Control based on Scalable Nonlinear Traffic Dynamics Model Discovery in a Large Network—0
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
Towards Model Discovery Using Domain Decomposition and PINNsCode0
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model DiscoveryCode1
Data-driven model discovery with Kolmogorov-Arnold networks—0
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and AnalysisCode0
Scalable Sparse Regression for Model Discovery: The Fast Lane to InsightCode0
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations—0
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
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