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Maurice Weiler
Maurice Weiler
University of Amsterdam
Verified email at uva.nl - Homepage
Title
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
5002018
General E(2)-Equivariant Steerable CNNs
M Weiler, G Cesa
Advances in Neural Information Processing Systems, 14334-14345, 2019
4622019
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International Conference on Machine Learning, 1321-1330, 2019
4232019
Learning steerable filters for rotation equivariant CNNs
M Weiler, FA Hamprecht, M Storath
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
3872018
A General Theory of Equivariant CNNs on Homogeneous Spaces
TS Cohen, M Geiger, M Weiler
Advances in Neural Information Processing Systems, 9142-9153, 2019
3322019
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
1162018
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P de Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
1112020
A Program to Build E (N)-Equivariant Steerable CNNs
G Cesa, L Lang, M Weiler
International Conference on Learning Representations, 2021
692021
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
652021
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
L Lang, M Weiler
arXiv preprint arXiv:2010.10952, 2020
552020
Euclidean neural networks: e3nn
M Geiger, T Smidt, M Alby, BK Miller, W Boomsma, B Dice, K Lapchevskyi, ...
arXiv preprint arXiv:2207.09453, 2022
49*2022
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
452023
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
432018
Steerable Partial Differential Operators for Equivariant Neural Networks
E Jenner, M Weiler
arXiv preprint arXiv:2106.10163, 2021
242021
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
18*2019
Equivariant and Coordinate Independent Convolutional Networks - A Gauge Field Theory of Neural Networks
M Weiler, P  Forré, E Verlinde, M Welling
https://maurice-weiler.gitlab.io/cnn_book …, 2023
5*2023
Clifford-Steerable Convolutional Neural Networks
M Zhdanov, D Ruhe, M Weiler, A Lucic, J Brandstetter, P Forré
arXiv preprint arXiv:2402.14730, 2024
12024
Hyperbolic Convolutional Neural Networks
A Skliar, M Weiler
arXiv preprint arXiv:2308.15639, 2023
2023
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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