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Anter El-Azab

2 accepted papers

2024

End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning

AAAI 2024technical

The availability of tera-byte scale experiment data calls for AI driven approaches which automatically discover scientific models from data. Nonetheless, significant challenges present in AI-driven scientific discovery: (i) The annotation of large scale datasets requires fundamental re-thinking in d…

Cited by 0SourcePDFScholar
2022

Efficient learning of sparse and decomposable PDEs using random projection

UAI 2022poster

Learning physics models in the form of Partial Differential Equations (PDEs) is carried out through back-propagation to match the simulations of the physics model with experimental observations. Nevertheless, such matching involves computation over billions of elements, presenting a significant comp…

Cited by 5SourcePDFScholar