The Fields Institute 2022

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

 

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