Department of Mathematics,
University of California San Diego
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Prof. Rose Yu
UC San Diego, Department of Computer Science and Engineering
On the Interplay Between Deep Learning and Dynamical Systems
Abstract:
The explosion of real-time data in the physical world requires new generations of tools to model complex dynamical systems. Deep learning, the foundation of modern AI, offers highly scalable models for spatiotemporal data. On the other hand, deep learning is opaque and complex. Dynamical system theory plays a key role in describing the emerging behavior of deep neural networks. It provides new paths towards understanding the hidden structures in these complex systems. In this talk, I will give an overview of our research to explore the interplay between the two. I will showcase the applications of these approaches to different science and engineering tasks.
Host: Xiaochuan Tian
May 6, 2025
3:00 PM
APM 7321
Research Areas
Numerical Differential Equations****************************
