Mixture of Lie-Group Kernels for Equivariance-Inspired Feature Learning.
- DOI
- 10.1109/tnnls.2026.3734447
- Published
- 2026 Sep 23
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3734447,
title = {Mixture of Lie-Group Kernels for Equivariance-Inspired Feature Learning.},
author = {Yang Y and Lan G and Xiao S and Wen J and Yang J and Lu W and Li B and Meng Q and Gao X},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3734447},
url = {https://doi.org/10.1109/tnnls.2026.3734447}
}RIS
TY - JOUR TI - Mixture of Lie-Group Kernels for Equivariance-Inspired Feature Learning. AU - Yang Y AU - Lan G AU - Xiao S AU - Wen J AU - Yang J AU - Lu W AU - Li B AU - Meng Q AU - Gao X PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3734447 UR - https://doi.org/10.1109/tnnls.2026.3734447 ER -
APA
Y, Y., G, L., S, X., J, W., J, Y., W, L., B, L., Q, M., & X, G. (2026). Mixture of Lie-Group Kernels for Equivariance-Inspired Feature Learning.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3734447
Source records
- pubmed · retrieved 2026-11-10T12:18:01.707Z