Universal approximation of functions on sets
Modelling functions of sets, or equivalently, permutation-invariant functions, is a longstanding challenge in machine learning. Deep Sets is a popular method which is known to be a universal approximator for continuous set functions. We provide a theoretical analysis of Deep Sets which shows that th...
| Autores principales: | , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Journal of Machine Learning Research
2022
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