CSE17 - MS168-1: Numerical Solutions of ODEs by Gaussian (Kalman) Filtering Presentation: Hans Kersting, Max Planck Institute for Intelligent Systems, Germany, 17 min 12 sec
CSE17 - MS168-1: Numerical Solutions of ODEs by Gaussian (Kalman) Filtering Document: CSE17 - MS168-1: Numerical Solutions of ODEs by Gaussian (Kalman) Filtering
CSE17 - MS168-2: Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems Presentation: Jon Cockayne, University of Warwick, United Kingdom, 20 min 6 sec
CSE17 - MS168-2: Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems Document: CSE17 - MS168-2: Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems
CSE17 - MS168-3: Learning Multi-Scale Stochastic Finite Element Basis Functions with Deep Neural Networks Presentation: Rohit Tripathy, Purdue University, USA, 20 min 7 sec
CSE17 - MS168-3: Learning Multi-Scale Stochastic Finite Element Basis Functions with Deep Neural Networks Document: CSE17 - MS168-3: Learning Multi-Scale Stochastic Finite Element Basis Functions with Deep Neural Networks
CSE17 - MS168-4: Risk-Assessment, Learning, and Optimization Using Surrogate Models Presentation: Paris Perdikaris, Massachusetts Institute of Technology, USA, 20 min 16 sec
CSE17 - MS168-4: Risk-Assessment, Learning, and Optimization Using Surrogate Models Document: CSE17 - MS168-4: Risk-Assessment, Learning, and Optimization Using Surrogate Models