Deep Neural Networks for Data-Driven Turbulence Models
Andrea Beck
University of Stuttgart
January 30, 2019
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks
Panos Stinis
Pacific Northwest National Laboratory
January 29, 2019
Data Driven Governing Equations Approximation Using Deep Neural Networks
Dongbin Xiu
Ohio State University
January 29, 2019
No equations, no variables, no parameters, no space and no time - some new and some old results in data-driven modeling of complex dynamical systems
Yannis Kevrekidis
Johns Hopkins University
January 29, 2019
Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems
Kevin Carlberg
Sandia National Laboratories
January 29, 2019
Data-driven model discovery and coordinate embeddings for physical systems
J. Nathan Kutz
University of Washington
January 29, 2019
Deep Neural Networks and Partial Differential Equations - Approximation Theory and Structural Properties
Philipp Petersen
University of Oxford
January 29, 2019