A rough path between mathematics and data science
The Fields Institute 2022
Third Symposium on Machine Learning and Dynamical Systems
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The goal of this symposium is to bring together researchers from these fields to fill the gap between the theories of dynamical systems and machine learning in the following directions:
- Machine Learning for Dynamical Systems: how to analyze dynamical systems on the basis of observed data rather than attempt to study them analytically.
- Dynamical Systems for Machine Learning: how to analyze algorithms of Machine Learning using tools from the theory of dynamical systems.
Talks from the team
| Terry Lyons | From Rough Paths to Streamed Data | |
| Patrick Kidger | Diffrax: Numerical Differential Equation Solvers in JAX |