Machine Learning for Accelerator Physics

Experiments on machine learning for accelerator physics application

Problem statement The cost of acquiring enough high-fidelity (HF) data from heavy simulations or experiments can be daunting. When much...

bayesian   regression   multi-fidelity   bagging
Experiment on Bi-fidelity Bayesian surrogate model

Experiment on Bi-fidelity Bayesian surrogate model

Experiment with the Bi-fidelity method on a toy model using (Bayesian) Bootstrap aggregating Neural Network and compare it with Gaussian...