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Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

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Showing 41–50 of 192 papers

Title	Date	Tasks	Status	Hype	Score
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality	Jan 30, 2025	Computational EfficiencyGaussian Processes	CodeCode Available	0	5
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data	May 27, 2025	Physics-informed machine learning	CodeCode Available	0	5
Towards Size-Independent Generalization Bounds for Deep Operator Nets	May 23, 2022	BIG-bench Machine LearningGeneralization Bounds	CodeCode Available	0	5
Differentiable Predictive Control for Large-Scale Urban Road Networks	Jun 14, 2024	Model Predictive ControlPhysics-informed machine learning	CodeCode Available	0	5
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations	Jun 17, 2023	Physics-informed machine learning	CodeCode Available	0	5
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery	Jun 26, 2022	BIG-bench Machine LearningDenoising	CodeCode Available	0	5
Hyperspectral Blind Unmixing using a Double Deep Image Prior	Aug 21, 2023	Hyperspectral UnmixingImage Generation	CodeCode Available	0	5
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics	Feb 16, 2024	Physics-informed machine learning	CodeCode Available	0	5
Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis	Aug 4, 2020	DecoderPhysics-informed machine learning	CodeCode Available	0	5
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis	Apr 23, 2025	Hybrid Machine LearningIndoor Localization	CodeCode Available	0	5

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