Probabilistic symmetries and invariant neural networks
Treating neural network inputs and outputs as random variables, we characterize the structure of neural networks that can be used to model data that are invariant or equivariant under the action of a compact group. Much recent research has been devoted to encoding invariance under symmetry transform...
| Principais autores: | , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Journal of Machine Learning Research
2020
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