Machine Learning in Computational Science
CSE19 - MS70-1: A Learning-based Approach for Data Assimilation
CSE19 - MS70-2: Bayesian Model Selection, Calibration and Uncertainty Quantification for Thermodynamic Properties
CSE19 - MS70-2: Bayesian Model Selection, Calibration and Uncertainty Quantification for Thermodynamic Properties
CSE19 - MS70-3: Inferring Black Box Functions under a Limited Computational Budget
CSE19 - MS70-3: Inferring Black Box Functions under a Limited Computational Budget
CSE19 - MS70-4: Statistical Learning Approaches for Automatic Parameter Tuning to Increase Parallel Performance in Large CFD Simulations
