Som Dhulipala

Multi output Gaussian process (MOGP) surrogate for field quantities

4

## Reason MOGP will allow the prediction of field quantities like temperature distribution in the domain and also quantify the prediction uncertainties. ## Design `MultiOutputGaussianProcessTrainer`, `MultiOutputGaussianProcess` surrogate objects will be...

nD Rosenbrock function for testing surrogate models in STM

3

### Motivation An nD Rosenbrock function is a complex analytical function involving heavy tails and non-convex structures. It's a cheap and effective function to test surrogate models in the STM....

### Motivation An nD Rosenbrock function is a complex analytical function involving heavy tails and non-convex structures. It's a cheap and effective function to test surrogate models in the STM....

Libtorch NN classifier surrogate

3

## Reason For active/online learning, it is important to drive away from unwanted/failed solves when training the surrogate like Gaussian process. To filter out unwanted/failed solves, a NN classifier surrogate...

### Motivation For active/online learning, it is important to drive away from unwanted/failed solves when training the surrogate like Gaussian process. To filter out unwanted/failed solves, a NN classifier surrogate...