Interpretable data-driven model reduction for multiscale nonlinear dynamics
Jared Callaham
University of Washington
March 27, 2020
Reliable and efficient model reduction of parametrized aerodynamics problems - error estimation and Adaptivity
Masayuki Yano
University of Toronto
March 27, 2020
Randomization for the Efficient Reduced Order Models in Diffuse Optical Tomography
Selin Aslan
Argonne National Laboratory
March 27, 2020
Efficient randomized algorithms for subspace system identification
Arvind Saibaba
North Carolina State University
March 26, 2020
Sensor Selection for Bayesian Inverse Problems and Data Assimilation via Dimension Reduction
Nicole Nellesen
RWTH Aachen University
March 26, 2020
A Reduced Order Modeling approach for PDEs with bifurcating solutions
Annalisa Quaini
University of Houston
March 26, 2020
POD Reduced-Order Modeling of Complex Fluid Flows
Zhu Wang
University of South Carolina
March 25, 2020
Structured Autoencoders for Operator-theoretic decomposition and Model reduction of Spatio-temporal dynamics
Karthik Duraisamy
University of Michigan
March 25, 2020