Search results
Results: 26
Number of items: 26
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Aguettaz, H., Bekkers, E. J., & Defferrard, M. (2021). ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups. ArXiv. https://doi.org/10.48550/arXiv.2111.12139 -
Romero, D. W., Kuzina, A., Bekkers, E. J., Tomczak, J. M., & Hoogendoorn, M. (2021). CKConv: Continuous Kernel Convolution For Sequential Data. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2102.02611
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Lafarge, M. W., Bekkers, E. J., Pluim, J. P. W., Duits, R., & Veta, M. (2021). Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Analysis, 68, Article 101849. https://doi.org/10.1016/j.media.2020.101849
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Romero, D. W., Bekkers, E. J., Tomczak, J. M., & Hoogendoorn, M. (2020). Attentive group equivariant convolutional networks. Proceedings of Machine Learning Research, 119, 8188-8199. http://proceedings.mlr.press/v119/romero20a.html
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Romero, D. W., Bekkers, E. J., Tomczak, J. M., & Hoogendoorn, M. (2020). Wavelet networks: Scale equivariant learning from raw waveforms. (v1 ed.) ArXiv. https://arxiv.org/abs/2006.05259
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Duits, R., Bekkers, E. J., & Mashtakov, A. (2019). Fourier Transform on the Homogeneous Space of 3D Positions and Orientations for Exact Solutions to Linear PDEs. Entropy, 21(1), Article 38. https://doi.org/10.3390/e21010038
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