You are all cordially invited to the AMLab seminar on Thursday 10th October at 14:00 in D1.113, where Andy Keller will give a talk titled “Approaches to Learning Approximate Equivariance”. There are the usual drinks and snacks!
Abstract: In this talk we will discuss a few proposed approaches to learning approximate equivariance directly from data. These approaches range from weakly supervised to fully unsupervised, relying on either mutual information bounds or inductive biases respectively. Critical discussion will be encouraged as much of the work is in early phases. Preliminary results will be shown to demonstrate validity of concepts.