Maurice Weiler
Maurice Weiler
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Cited by
Cited by
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
General E(2)-Equivariant Steerable CNNs
M Weiler, G Cesa
Advances in Neural Information Processing Systems, 14334-14345, 2019
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International Conference on Machine Learning, 1321-1330, 2019
Learning steerable filters for rotation equivariant CNNs
M Weiler, FA Hamprecht, M Storath
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
TS Cohen, M Geiger, M Weiler
Advances in Neural Information Processing Systems, 9142-9153, 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
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P de Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
A Program to Build E (N)-Equivariant Steerable CNNs
G Cesa, L Lang, M Weiler
International Conference on Learning Representations, 2021
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
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
L Lang, M Weiler
arXiv preprint arXiv:2010.10952, 2020
Euclidean neural networks: e3nn
M Geiger, T Smidt, M Alby, BK Miller, W Boomsma, B Dice, K Lapchevskyi, ...
arXiv preprint arXiv:2207.09453, 2022
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
Steerable Partial Differential Operators for Equivariant Neural Networks
E Jenner, M Weiler
arXiv preprint arXiv:2106.10163, 2021
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
Equivariant and Coordinate Independent Convolutional Networks - A Gauge Field Theory of Neural Networks
M Weiler, P  Forré, E Verlinde, M Welling …, 2023
Clifford-Steerable Convolutional Neural Networks
M Zhdanov, D Ruhe, M Weiler, A Lucic, J Brandstetter, P Forré
arXiv preprint arXiv:2402.14730, 2024
Hyperbolic Convolutional Neural Networks
A Skliar, M Weiler
arXiv preprint arXiv:2308.15639, 2023
Equivariant steerable convolutional neural networks
C Gabriele, L Leon, M Weiler
US Patent App. 17/219,099, 2022
Gauge equivariant geometric graph convolutional neural network
DE Pim, M Weiler, TS Cohen, M Welling
US Patent App. 17/169,338, 2021
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