scientific article; zbMATH DE number 7255121
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Publication:4969154
zbMath1502.62092arXiv1901.06082MaRDI QIDQ4969154
Benjamin Bloem-Reddy, Yee Whye Teh
Publication date: 5 October 2020
Full work available at URL: https://arxiv.org/abs/1901.06082
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
invarianceexchangeabilityequivariancesufficiencyadequacyconvolutional neural networksgraph neural networksneural architecturesprobabilistic symmetry
Artificial neural networks and deep learning (68T07) Sufficient statistics and fields (62B05) Neural nets and related approaches to inference from stochastic processes (62M45) Exchangeability for stochastic processes (60G09)
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- Testing Statistical Hypotheses
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- Probabilistic Symmetries and Invariance Principles
- Application of the Radon-Nikodym Theorem to the Theory of Sufficient Statistics
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- Approximation by superpositions of a sigmoidal function
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