Keynote
in
Workshop: 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Intuition for the Data Types and Interactions of Euclidean Neural Networks
Tess Smidt
Abstract:
3D Euclidean symmetry-equivariant neural networks (E(3)NNs) are emerging as an effective machine learning paradigm in molecular modeling, protein design, computer graphics, and beyond. In this talk, I'll discuss the fundamental building blocks of E(3)NNs and how these pieces are combined to create the growing zoo of E(3)NNs available today.
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