Twitter Tech Lead Michael Bronstein & Team Leverage the Erlangen Programme to Establish the Geometric Foundations of Deep Learning
A recently published 156-page paper from a team led by Imperial College Professor and Twitter Chief Scientist Michael Bronstein aims to geometrically unify CNN, GNN, LSTM and Transformer architectures from a perspective of symmetry and invariance to build an "Erlangen Programme" for deep neural networks.
A recently published 156-page paper from a team led by Imperial College Professor and Twitter Chief Scientist Michael Bronstein aims to geometrically unify CNN, GNN, LSTM and Transformer architectures from a perspective of symmetry and invariance to build an "Erlangen Programme" for deep neural networks.
invariance, deep neural networks, perspective of symmetry, CNN, team, LSTM, Erlangen Programme, Transformer architectures, Twitter Chief Scientist Michael Bronstein, Imperial College Professor
