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Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks
International Conference on Learning RepresentationsKolmogorov-Arnold Network (KAN) is a network structure recently proposed by Liu et al. (2024) that offers improved interpretability and a more parsimonious design in many science-oriented tasks compared to multi-layer perceptrons.
Xianyang Zhang, Huijuan Zhou
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Probabilistic Kolmogorov complexity with applications to average-case complexity
Electron. Colloquium Comput. Complex., 2022H. Goldberg +3 more
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Characterizing derandomization through hardness of Levin-Kolmogorov complexity
Electron. Colloquium Comput. Complex., 2022Yanyi Liu, R. Pass
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An Introduction to Kolmogorov Complexity and Its Applications
Graduate Texts in Computer Science, 1993Ming Li, P. Vitányi
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EEG-Based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity
Advances in Intelligent Systems and Computing, 2021Digambar V. Puri +3 more
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Kolmogorov complexity and random graphs
Information Processing Letters, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An Introduction to Kolmogorov Complexity and Its Applications
Texts in Computer Science, 2019Ming Li, P. Vitányi
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Impagliazzo's Worlds Through the Lens of Conditional Kolmogorov Complexity
Electron. Colloquium Comput. Complex.Zhenjian Lu, Rahul Santhanam
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The pervasive reach of resource-bounded Kolmogorov complexity in computational complexity theory
Journal of Computer and System Sciences, 2011Eric Allender, Michal Koucky
exaly