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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 26–50 of 87 papers

TitleStatusHype
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
Data-driven model discovery with Kolmogorov-Arnold networks—0
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and AnalysisCode0
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations—0
Scalable Sparse Regression for Model Discovery: The Fast Lane to InsightCode0
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
Automated Statistical Model Discovery with Language Models—0
Operator Learning: Algorithms and Analysis—0
Process mining for self-regulated learning assessment in e-learning—0
Optimal Pricing for Data-Augmented AutoML Marketplaces—0
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches—0
On sparse regression, Lp-regularization, and automated model discovery—0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics—0
Naming Practices of Pre-Trained Models in Hugging Face—0
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning—0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
A Competitive Learning Approach for Specialized Models: A Solution for Complex Physical Systems with Distinct Functional Regimes—0
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence—0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial OptimizationCode0
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