Start date cannot be after end date.
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Model reduction for port-Hamiltonian differential-algebraic systems
Presenter
- Volker Mehrmann
February 20, 2020
ICERM
A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data
Presenter
- Pawan Goyal
February 20, 2020
ICERM
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
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems
Presenter
- Andrew Majda
January 11, 2017
IPAM
Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence
Presenter
- Ralf Banisch
December 5, 2016
IPAM
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo
Presenter
- Michael Scherbela
May 27, 2022
IPAM
Solving Heterogeneous Agent Models with the Master Equation
Presenter
- Adrien Bilal
October 28, 2021
IMSI
Enforcing Structure in Scientific Machine Learning for Computational Decision Support & Digital Twins
Presenter
- Karthik Duraisamy
March 23, 2024
ICERM
Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks
Presenter
- Luca Pegolotti
June 6, 2023
ICERM