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Mathematics Of Machine Learning: Convex Optimization
Presenter
- Nicolas Flammarion
July 25, 2022
SLMath
Convolutional autoencoders and LSTMs - using deep learning to overcome Kolmogorov-width limitations and accurately model errors in nonlinear model reduction
Presenter
- Kevin Carlberg
February 21, 2020
ICERM
A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data
Presenter
- Pawan Goyal
February 20, 2020
ICERM
Automatic Generation of Minimal and Reduced Models for Structured Parametric Dynamical Systems
Presenter
- Igor Pontes Duff
February 20, 2020
ICERM
Model reduction for port-Hamiltonian differential-algebraic systems
Presenter
- Volker Mehrmann
February 20, 2020
ICERM
Data-driven Modeling and Optimization of Dissipative Dynamics
Presenter
- Christopher Beattie
February 20, 2020
ICERM
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
A reduced basis method for parametrized variational inequalities applied to contact mechanics
Presenter
- Amina Benaceur
February 19, 2020
ICERM
The Loewner Framework for Model Reduction of Flow Equations
Presenter
- Matthias Heinkenschloss
February 18, 2020
ICERM
Operator inference for non-intrusive model reduction of non-polynomial nonlinear systems
Presenter
- Boris Krämer
February 18, 2020
ICERM