A Survey on Analog Models of Computation
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Abstract (arXiv)
We present a survey on analog models of computations. Analog can be understood both as computing by analogy, or as working on the continuum. We consider both approaches, often intertwined, with a point of view mostly oriented by computation theory.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 May 2018.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2023Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networkscited by 1
- 2026Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEscited by 0
- 2026RevCRN: Reversible Analog Computation using Chemical Reaction Networkscited by 0
- 2026RevCRN: Reversible Analog Computation using Chemical Reaction Networks11 Aug 2026
- 2026Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs27 Apr 2026
- 2023Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networks29 Sep 2023