Conferences
SIAM CSE 2021
Monday March 1
Shane McQuarrie, Data-driven Reduced-order Models via Regularized Operator Inference, 10:05-10:20 AM (MS6)
Elnaz Rezaian, Symmetrization and Non-Intrusive Stabilization of ROMs for Compressible Flows, 3:15-3:30 PM (MS60)
Christian Jacoben, Disentangled Representation and Generative Modeling of Complex Physics using Variational Autoencoders (MS66)
Wednesday March 3
Cheng Huang, Multi-Component Reduced Order Modeling Framework for Rocket Combustion, 2:35-2:50 PM (MS161)
Chris Wentland, Nonlinear Manifold Reduced-Order Models for Complex Fluid Flow Systems, 3:35-3:50 PM (MS178)
Jiayang Xu, Structured Autoencoders for Operator-Theoretic Decomposition and Model Reduction of Spatio-Temporal Dynamics, 5:35-5:50 PM (MS207)
Thursday March 4
Mengwu Guo, A Bayesian Formulation of Operator Inference for Non-Intrusive Reduced Order Modeling, 9:45-10:00 AM (MS215)
Friday March 5
Minisymposia: Wayne Isaac T. Uy, Recent Advances in Model Order Reduction for Advection-Dominated Simulations, 8:30 - 10:10 AM (MS324)
Minisymposia: Donsub Rim, Recent Developments in Nonlinear Model Reduction Methods, 8:30 - 10:10 AM (MS326)
Donsub Rim, Reduced Deep Networks: Distilling Nonlinear Shock Waves, 8:30-8:45 AM (MS326)
Elizabeth Qian, Lift & Learn: Scientific Machine Learning for Nonlinear PDEs, 11:00-11:15 AM (MS348)
Karen Willcox, Learning from Thanos: Data-Driven Model Reduction, 10:20-10:35 AM (MS340)
Karthik Duraisamy, Discretely Consistent Reduced Order Models for Multiscale Problems based on Structure Preserving Transformations, 9:10-9:25 AM (MS324)