Bifurcation to a sink preserving the number of critical points and applications to statistical learning

We describe some results in dynamics, symmetry and geometric analysis which have applications to the theoretical study of machine learning.
Most of the first half of the talk will emphasise the mathematics and be introductory; at appropriate points, brief
indications will be made concerning the
motivating question from statistical learning.

Date and Venue

Start Date


Mike Field

Speaker's Institution

University of California


Dynamical Systems