Ben Erichson - ViDoe

Hybrid physics-data modeling in fluid dynamics

1:16:17

Hybrid physics-data modeling in fluid dynamics

Differentiable Programming for Modeling and Control of Dynamical Systems

47:00

Differentiable Programming for Modeling and Control of Dynamical Systems

Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems

1:11:50

Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems

Data-driven prediction of dynamical systems from partial observations

56:02

Data-driven prediction of dynamical systems from partial observations

Training and Dynamics of Recurrent Neural Networks

1:04:46

Training and Dynamics of Recurrent Neural Networks

Comparing statistical forecasting models across a space of chaotic systems

1:09:29

Comparing statistical forecasting models across a space of chaotic systems

Exploiting Symmetry in Deep Dynamics Models For Improved Generalization

52:08

Exploiting Symmetry in Deep Dynamics Models For Improved Generalization

Solving/learning nonlinear PDEs and completing computational graphs with GPs

1:02:30

Solving/learning nonlinear PDEs and completing computational graphs with GPs

Understanding Neural Net Training Dynamics in Tractable Slices

1:26:22

Understanding Neural Net Training Dynamics in Tractable Slices

Learning Green's functions associated with elliptic PDEs

1:04:50

Learning Green's functions associated with elliptic PDEs

A Mathematical Perspective of Machine Learning

56:35

A Mathematical Perspective of Machine Learning