4.2 - Uncertainty Quantification(UQ) in Scientific Machine Learning
, Professor, Brown University
Dive into epistemic and aleatoric uncertainty quantification methods for neural network based surrogate models, alongside diverse applications and comparisons with Meta-Learning, Deep Ensembles, Snapshot Ensembles, and Stochastic Weight Averaging Dropout.