MS016A Scientific Machine Learning for Nonlinear Model Reduction I
Main Organizer:
Prof.
Boris Kramer
(
University of California San Diego
, United States
)
Chaired by:
Prof. Boris Kramer (University of California San Diego , United States) , Prof. Benjamin Peherstorfer (Courant Institute of Mathematical Sciences, New York University , United States)
Prof. Boris Kramer (University of California San Diego , United States) , Prof. Benjamin Peherstorfer (Courant Institute of Mathematical Sciences, New York University , United States)
Scheduled presentations:
-
Keynote
Model order reduction through projection onto random features
-
Hyper Reduction on Retraining of Data-Augmented Predictive Deep Neural Network
-
Nonlinear Model Reduction: Combining the Descriptive Power of ODEs with Neural Networks in a Universal Differential Equation
-
Reduced modeling of chaotic, turbulent, and stochastic systems via population dynamics
-
Evidence-Based Prediction of Thermoacoustic Limit Cycles with Bayesian Neural Networks
