"physics-informed machine learning" Papers

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Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout

Bharat Srikishan, Daniel O'Malley, Mohamed Mehana et al.

ICLR 2025arXiv:2503.10048

Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes

Guangting Yu, Shiwei Lan

Physics and Lie symmetry informed Gaussian processes

David Dalton, Dirk Husmeier, Hao Gao

Pluvial Flood Emulation with Hydraulics-informed Message Passing

Arnold Kazadi, James Doss-Gollin, Arlei Silva