Tag: surrogate models

Researchers have shown that randomly shuffling embedded patch tokens inside vision transformer surrogate models during adversarial example generation substantially improves ...

A new editorial collection documents how artificial intelligence is reshaping particle accelerator science, from surrogate models already in practical use ...

Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with modest prediction errors ...

A new perspective article argues that machine learning serves functional materials research best as a practical navigator that prioritizes candidates ...

A new two-stage reduced order model combines hyper-reduction and Gaussian process regression to cut both training and prediction costs for ...

A new simulation framework calibrates agent-based models to routine surveillance data through an ODE surrogate, revealing that COVID-19 intervention rankings ...

A preprint under review in Wind Energy Science shows that a compact set of wind speed and turbulence descriptors is ...

Machine learning surrogates reproduce classical variance-based sensitivity results for hydrologic models at a fraction of the computational cost.

Researchers at UPES Dehradun have combined CFD simulations with machine learning, including a physics-guided neural network, to rapidly optimize drone ...

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...