Neural Network Symmetrisation in Concrete Settings
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Abstract (arXiv)
Cornish (2024) recently gave a general theory of neural network symmetrisation in the abstract context of Markov categories. We give a high-level overview of these results, and their concrete implications for the symmetrisation of deterministic functions and of Markov kernels.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 12 Dec 2024.
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