On the Kolmogorov neural networks
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Abstract (arXiv)
In this paper, we show that the Kolmogorov two hidden layer neural network model with a continuous, discontinuous bounded or unbounded activation function in the second hidden layer can precisely represent continuous, discontinuous bounded and all unbounded multivariate functions, respectively.
Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 4 of its 36 references that are in the map. First posted on arXiv 31 Oct 2023.
Builds on
4 of 36 references.
References · 4
- 2020The Kolmogorov-Arnold representation theorem revisitedcited by 89
- 2020Neural Network Approximation: Three Hidden Layers Are Enoughcited by 63
- 2019Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theoremcited by 49
- 2021Approximation capability of two hidden layer feedforward neural networks with fixed weightscited by 24
Built on by
Citing papers per year: 2024: 9; 2025: 7; 2026: 3.
19 papers.
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- 2024KAN: Kolmogorov-Arnold Networkscited by 634
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 39
- 2025A Practitioner's Guide to Kolmogorov-Arnold Networkscited by 16
- 2025LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behaviorcited by 12
- 2024Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networkscited by 11
- 2024Addressing common misinterpretations of KART and UAT in neural network literaturecited by 9
- 2024Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representationcited by 3
- 2024Structured and Balanced Multi-Component and Multi-Layer Neural Networkscited by 3
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometriescited by 3
- 2025Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networkscited by 2
- 2025On shallow feedforward neural networks with inputs from a topological spacecited by 2
- 2024Generalizable autoregressive modeling of time series through functional narrativescited by 1
7 more
- 2024GrokFormer: Graph Fourier Kolmogorov-Arnold Transformerscited by 1
- 2025Kolmogorov GAM Networks are all you need!cited by 1
- 2024The Function-Representation Model of Computationcited by 0
- 2025Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learningcited by 0
- 2026Clifford Kolmogorov-Arnold Networkscited by 0
- 2026Universality of shallow and deep neural networks on non-Euclidean spacescited by 0
- 2026Kolmogorov--Arnold stability for discontinuous functionscited by 0
- 2026Kolmogorov--Arnold stability for discontinuous functions7 Sep 2026
- 2026Clifford Kolmogorov-Arnold Networks5 Feb 2026
- 2026Universality of shallow and deep neural networks on non-Euclidean spaces3 Feb 2026
- 2025A Practitioner's Guide to Kolmogorov-Arnold Networks28 Oct 2025
- 2025Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning5 Jul 2025
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries8 Apr 2025
- 2025On shallow feedforward neural networks with inputs from a topological space3 Apr 2025
- 2025Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks3 Mar 2025
- 2025LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior25 Feb 2025
- 2025Kolmogorov GAM Networks are all you need!1 Jan 2025
- 2024GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers26 Nov 2024
- 2024Generalizable autoregressive modeling of time series through functional narratives10 Oct 2024
7 more
- 2024The Function-Representation Model of Computation10 Oct 2024
- 2024Addressing common misinterpretations of KART and UAT in neural network literature29 Aug 2024
- 2024Structured and Balanced Multi-Component and Multi-Layer Neural Networks30 Jun 2024
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks21 Jun 2024
- 2024Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation26 May 2024
- 2024KAN: Kolmogorov-Arnold Networks30 Apr 2024
- 2024Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks4 Jan 2024
- 2024KAN: Kolmogorov-Arnold Networkscited by 634
- 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 39
- 2025A Practitioner's Guide to Kolmogorov-Arnold Networkscited by 16
- 2025LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behaviorcited by 12
- 2024Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networkscited by 11
- 2024Addressing common misinterpretations of KART and UAT in neural network literaturecited by 9
- 2024Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representationcited by 3
- 2024Structured and Balanced Multi-Component and Multi-Layer Neural Networkscited by 3
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometriescited by 3
- 2025Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networkscited by 2
- 2025On shallow feedforward neural networks with inputs from a topological spacecited by 2
- 2024Generalizable autoregressive modeling of time series through functional narrativescited by 1
12 most cited of 19 All 19 (JSON)
- 2026Kolmogorov--Arnold stability for discontinuous functions7 Sep 2026
- 2026Clifford Kolmogorov-Arnold Networks5 Feb 2026
- 2026Universality of shallow and deep neural networks on non-Euclidean spaces3 Feb 2026
- 2025A Practitioner's Guide to Kolmogorov-Arnold Networks28 Oct 2025
- 2025Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning5 Jul 2025
- 2025Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries8 Apr 2025
- 2025On shallow feedforward neural networks with inputs from a topological space3 Apr 2025
- 2025Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks3 Mar 2025
- 2025LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior25 Feb 2025
- 2025Kolmogorov GAM Networks are all you need!1 Jan 2025
- 2024GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers26 Nov 2024
- 2024Generalizable autoregressive modeling of time series through functional narratives10 Oct 2024
12 newest of 19 All 19 (JSON)