Differential Equations for Continuous-Time Deep Learning

PDE Seminar
Friday, April 19, 2024 - 3:00pm for 1 hour (actually 50 minutes)
CSIP Library (Room 5126), 5th floor, Centergy one
Dr.Lars Ruthotto – Research Associate Professor in the Department of Mathematics and the Department of Computer Science at Emory University

In this talk, we introduce and survey continuous-time deep learning approaches based on neural ordinary differential equations (neural ODEs) arising in supervised learning, generative modeling, and numerical solution of high-dimensional optimal control problems. We will highlight theoretical advantages and numerical benefits of neural ODEs in deep learning and their use to solve otherwise intractable PDE problems.