David Eklund

I am a researcher in applied algebraic geometry and geometric machine learning. I am mostly focused on the Riemannian geometry of machine learning models in the stochastic setting.

Contact: daek 'AT' kth.se

See also my homepage at Danmarks Tekniska Universiet, where I am currently at.

Papers and preprints

Class in applied algebraic geometry (spring 2017)

Some small examples in Bertini: