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Model Discovery

discovering PDEs from spatiotemporal data

Papers

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Showing 11–20 of 87 papers

Title	Date	Tasks	Status	Hype	Score
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data	Mar 4, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1	5
Bayesian differential programming for robust systems identification under uncertainty	Apr 15, 2020	Bayesian InferenceModel Discovery	CodeCode Available	1	5
Sparsely constrained neural networks for model discovery of PDEs	Nov 9, 2020	Model Discoveryregression	CodeCode Available	1	5
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach	Mar 22, 2023	Model Discoveryregression	CodeCode Available	0	5
Automated Modeling Method for Pathloss Model Discovery	May 29, 2025	Kolmogorov-Arnold Networksmodel	CodeCode Available	0	5
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)	Jun 10, 2025	Model Discovery	CodeCode Available	0	5
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects	Mar 10, 2022	GPRModel Discovery	CodeCode Available	0	5
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery	Aug 20, 2023	DenoisingModel Discovery	CodeCode Available	0	5
Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial Optimization	Mar 2, 2023	Model Discovery	CodeCode Available	0	5
A toolkit for data-driven discovery of governing equations in high-noise regimes	Nov 8, 2021	Equation DiscoveryModel Discovery	CodeCode Available	0	5

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