Tag: manifold hypothesis
All the talks with the tag "manifold hypothesis".
An Introduction to Neural Differential Equations
Jyotirmaya ShivottamPublished: at 10:00 AMThis talk outlines the basics of Neural Differential Equations (NDEs), starting with the foundational paper by Chen et al. on Neural Ordinary Differential Equations (NODEs) and explores connections with dynamical modeling. It presents some examples of neural architectures in the NDE framework and discusses the universal approximation and expressivity properties of certain NDEs, in the context of the manifold hypothesis. The talk concludes with practical considerations for implementing NDE networks.