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Covariance in Physics and Convolutional Neural Networks
In this proceeding we give an overview of the idea of covariance (or equivariance) featured in the recent development of convolutional …
Miranda Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco Cohen, Max Welling
arXiv PDF Cite
Covariance in Physics and Convolutional Neural Networks
Explorations in Homeomorphic Variational Auto-Encoding
The manifold hypothesis states that many kinds of high-dimensional data are concentrated near a low-dimensional manifold. If the …
Luca Falorsi, Pim de Haan, Tim Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco Cohen
arXiv PDF Code Cite
Explorations in Homeomorphic Variational Auto-Encoding