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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 1Source ↗PDF ↗Scholar ↗
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 5Source ↗PDF ↗Scholar ↗