Paper · arXiv
Higher Structures in Deep Learning
We provide an expository introduction on the importance of higher-arity tensor operations to deep learning. Then, we conduct a novel empirical investigation of higher-arity phenomenon in trained neural networks, introduce a hypergraphical generalization of the multilayer perceptron, and explore connections to evolutionary algorithms. We conclude with a discussion of promising directions for future research.
| Authors | Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen et al. |
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| Primary category | cs.LG |
| Published | 31 August 2026 |
| Last updated at source | 31 August 2026 |
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