ESE Fall Seminar – “Approximate symmetries in machine learning”
Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, PhiladelphiaIn this talk, we explain different roles that symmetries and approximate symmetries can play in machine learning models. We define approximately equivariant graph neural networks and we show a bias-variance […]