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cs.LG2026
Identifiable Equivariant Networks are Layerwise Equivariant
Vahid Shahverdi, Giovanni Luca Marchetti, Georg Bökman +1
We investigate the relation between end-to-end equivariance and layerwise equivariance in deep neural networks. We prove the following: For a network whose end-to-end function is e…
cs.LG2023★ 2 cited
Investigating how ReLU-networks encode symmetries
Georg Bökman, Fredrik Kahl
Many data symmetries can be described in terms of group equivariance and the most common way of encoding group equivariances in neural networks is by building linear layers that ar…