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Maurice Weiler
Maurice Weiler
Verified email at uva.nl
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Cited by
Cited by
Year
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
3302018
Learning steerable filters for rotation equivariant CNNs
M Weiler, FA Hamprecht, M Storath
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2892018
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International Conference on Machine Learning, 1321-1330, 2019
2882019
General E(2)-Equivariant Steerable CNNs
M Weiler, G Cesa
Advances in Neural Information Processing Systems, 14334-14345, 2019
2462019
A General Theory of Equivariant CNNs on Homogeneous Spaces
TS Cohen, M Geiger, M Weiler
Advances in Neural Information Processing Systems, 9142-9153, 2019
2192019
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
822018
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P de Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
692020
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
372018
Coordinate Independent Convolutional Networks--Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds
M Weiler, P Forré, E Verlinde, M Welling
arXiv preprint arXiv:2106.06020, 2021
312021
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
L Lang, M Weiler
arXiv preprint arXiv:2010.10952, 2020
292020
A Program to Build E (N)-Equivariant Steerable CNNs
G Cesa, L Lang, M Weiler
International Conference on Learning Representations, 2021
122021
Steerable Partial Differential Operators for Equivariant Neural Networks
E Jenner, M Weiler
arXiv preprint arXiv:2106.10163, 2021
102021
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
7*2019
Equivariant steerable convolutional neural networks
C Gabriele, L Leon, M Weiler
US Patent App. 17/219,099, 2022
2022
Gauge equivariant geometric graph convolutional neural network
DE Pim, M Weiler, TS Cohen, M Welling
US Patent App. 17/169,338, 2021
2021
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