Special Session 73: Data-driven methods in dynamical systems
Organizer(s): Ruhui Jin , Shi Chen , Qin Li

Parallel Session 3 :: Thursday, June 1, 08:00 – 09:30                     MO209
8:00-8:30	Longxiu Huang (Michigan State University, USA)  Bandlimited Graph Signal Recovery from Randomized Space-time Samples

8:30-9:00

Yifan Chen (Caltech, USA)  Gradient flows for sampling: affine invariance and numerical approximations

Parallel Session 4 :: Thursday, June 1, 14:00 – 16:00                     MO209
14:00-14:30	Victor Churchill (The Ohio State University, USA)  Learning the Evolution of Unknown Systems via Deep Neural Networks

14:30-15:00

Changhong Mou (University of Wisconsin-Madison, USA)  Combining Stochastic Parameterized Reduced-Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations

15:00-15:30

Yinling Zhang (University of Wisconsin Madison, USA)  A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization

15:30-16:00

Tulin Kaman (University of Arkansas, USA)  Advancements in reduced order modeling and physics-informed neural networks for solving large scale partial differential equations

Parallel Session 5 :: Thursday, June 1, 16:30 – 19:00                     MO209
17:00-17:30	Shi Chen (University of Wisconsin-Madison, USA)  Global Convergence of Gradient Descent for Multi-Layer ResNets with Homogeneous Activation Functions in the Mean-Field Regime

17:30-18:00

Shukai Du (University of Wisconsin-Madison, USA)  Fast, low-memory methods for radiative transfer via hp-adaptive mesh refinement