Description: Website for workshop
In recent years, there has been a rapid increase of machine learning applications in computational sciences, with some of the most impressive results at the interface of deep learning (DL) and differential equations (DEs). DL techniques have been used in a variety of ways to dramatically enhance the effectiveness of DE solvers and computer simulations. These successes have widespread implications, as DEs are among the most well-understood tools for the mathematical analysis of scientific knowledge, and they
This workshop will aim to bring together researchers with backgrounds in computational science and deep learning to encourage intellectual exchanges, cultivate relationships and accelerate research in this area. The scope of the workshop spans topics at the intersection of DL and DEs, including theory of DL and DEs, neural differential equations, solving DEs with neural networks, and more.
We invite high-quality extended abstract submissions on the intersection of DEs and DL. Some examples (non-exhaustive list):
Rose Yu Homepage
Ben Hoover
Zhonghua Zheng | The University of Manchester
Eunbyung Park
Zhonghua Zheng | The University of Manchester
Ben Hoover
The Symbiosis of Deep Learning and Differential Equations (DLDE)