Approximability of deep computations

Samson Alva; Eduardo Dueñez; Jose Iovino; Claire Walton

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arXiv · 2409.06064

Approximability of deep computations

Samson Alva·Eduardo Dueñez·Jose Iovino·Claire Walton

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Abstract

This is the first of a series of papers in which we study deep computations (ultracomputations) and deep iterates, formalizing the ideas of "asymptotic limit" of computations and compositional iterates, respectively. In this first paper of the series, we characterize deep computations that are bona fide computable, and prove the existence of deep equilibria, which hitherto have been found only empirically in deep learning. A subsequent paper will study the complexity of ultracomputations. Our approach adapts and combines technology from topology of function spaces, structural Ramsey theory, topological dynamics, and model theory.

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BibTeX RIS

Samson Alva, Eduardo Dueñez, Jose Iovino, Claire Walton. 2024-09-09. Approximability of deep computations. https://arxiv.org/abs/2409.06064

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