248 citations · 769 across the 15 of their papers we have counts for
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cs.LG2021★ 10 cited
Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds
Maurice Weiler, Patrick Forré, Erik Verlinde +1
Motivated by the vast success of deep convolutional networks, there is a great interest in generalizing convolutions to non-Euclidean manifolds. A major complication in comparison…
cs.LG2021★ 5 cited
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner, Maurice Weiler
Recent work in equivariant deep learning bears strong similarities to physics. Fields over a base space are fundamental entities in both subjects, as are equivariant maps between t…