Maurice Weiler
Maurice Weiler
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Learning steerable filters for rotation equivariant CNNs
M Weiler, FA Hamprecht, M Storath
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
M Weiler, M Geiger, W Boomsma, M Welling, T Cohen
Advances in Neural Information Processing Systems, 10401-10412, 2018
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International Conference on Machine Learning, 1321-1330, 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
TS Cohen, M Geiger, M Weiler
Advances in Neural Information Processing Systems, 9142-9153, 2019
General E(2)-Equivariant Steerable CNNs
M Weiler, G Cesa
Advances in Neural Information Processing Systems, 14334-14345, 2019
Explorations in Homeomorphic Variational Auto-Encoding
L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ...
arXiv preprint arXiv:1807.04689, 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
TS Cohen, M Geiger, M Weiler
arXiv preprint arXiv:1803.10743, 2018
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P de Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
Covariance in Physics and Convolutional Neural Networks
MW Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan ...
ICML 2019 Workshop on Theoretical Physics for Deep Learning, 2019
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
L Lang, M Weiler
arXiv preprint arXiv:2010.10952, 2020
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