H2-Optimal Model Reduction Using Projected Nonlinear Least Squares
Jeffrey Hokanson
University of Colorado Boulder
February 21, 2020
Convolutional autoencoders and LSTMs - using deep learning to overcome Kolmogorov-width limitations and accurately model errors in nonlinear model reduction
Kevin Carlberg
University of Washington
February 21, 2020
A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data
Pawan Goyal
MPI Magdeburg
February 20, 2020
Automatic Generation of Minimal and Reduced Models for Structured Parametric Dynamical Systems
Igor Pontes Duff
Max Planck Institute for Dynamics of Complex Technical Systems
February 20, 2020
Model reduction for port-Hamiltonian differential-algebraic systems
Volker Mehrmann
TU Berlin
February 20, 2020
Data-driven Modeling and Optimization of Dissipative Dynamics
Christopher Beattie
Virginia Tech
February 20, 2020
Predictive data science for physical systems- From model reduction to scientific machine learning
Karen Willcox
UT Austin
February 20, 2020
A reduced basis method for parametrized variational inequalities applied to contact mechanics
Amina Benaceur
MIT
February 19, 2020