Transport and Multilevel Approaches for Large-Scale PDE-Constrained Bayesian Inference
Robert Scheichl
University of Heidelberg
April 23, 2020
Reduced Order Model Approach to Inverse Scattering
Jorn Zimmerling
University of Michigan
April 22, 2020
Optimal experimental design for the quantification of model uncertainty
Karen Veroy-Grepl
TU Eindhoven
April 22, 2020
Understanding and mitigating gradient flow pathologies in physics-informed neural networks
Paris Perdikaris
University of Pennsylvania
April 21, 2020
Kernel Analog Forecasting for Multiscale Problems
Krithika Manohar
California Institute of Technology
April 20, 2020
From Fourier to Koopman - Spectral Methods for Long-term Time Series Prediction
J. Nathan Kutz
University of Washington
April 20, 2020
Welcome and Fast Discovery of Pairwise Interactions in High Dimensions using Bayes
Tamara Broderick
Massachusetts Institute of Technology
April 20, 2020