| 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 | 502 | 2018 |
| General E(2)-Equivariant Steerable CNNs M Weiler, G Cesa Advances in Neural Information Processing Systems, 14334-14345, 2019 | 468 | 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 | 425 | 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 | 388 | 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 | 333 | 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 | 118 | 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 | 112 | 2020 |
| A Program to Build E (N)-Equivariant Steerable CNNs G Cesa, L Lang, M Weiler International Conference on Learning Representations, 2021 | 71 | 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 | 65 | 2021 |
| A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels L Lang, M Weiler arXiv preprint arXiv:2010.10952, 2020 | 55 | 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 | 50* | 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 | 47 | 2023 |
| 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 | 43 | 2018 |
| Steerable Partial Differential Operators for Equivariant Neural Networks E Jenner, M Weiler arXiv preprint arXiv:2106.10163, 2021 | 24 | 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 | 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 | 1 | 2024 |
| 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 |
Taco CohenQualcomm AI Researchqti.qualcomm.com의 이메일 확인됨
