mlsanityData to 7 Oct 2026

Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice

arXiv 2408.10263 ↗First posted 15 Aug 2024cs.LG cs.NEcited by 2

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Abstract (arXiv)

This study evaluates the applicability of Kolmogorov-Arnold Networks (KAN) in fraud detection, finding that their effectiveness is context-dependent. We propose a quick decision rule using Principal Component Analysis (PCA) to assess the suitability of KAN: if data can be effectively separated in two dimensions using splines, KAN may outperform traditional models; otherwise, other methods could be more appropriate. We also introduce a heuristic approach to hyperparameter tuning, significantly reducing computational costs. These findings suggest that while KAN has potential, its use should be guided by data-specific assessments.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 20 of its 41 references that are in the map. First posted on arXiv 15 Aug 2024.

Builds on

20 of 41 references.

References · 20

  1. 2024KAN: Kolmogorov-Arnold Networkscited by 634
  2. 2024U-KAN Makes Strong Backbone for Medical Image Segmentation and Generationcited by 176
  3. 2024Wav-KAN: Wavelet Kolmogorov-Arnold Networkscited by 118
  4. 2024Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationcited by 115
  5. 2024Kolmogorov-Arnold Networks (KANs) for Time Series Analysiscited by 97
  6. 2024DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problemscited by 82
  7. 2024Convolutional Kolmogorov-Arnold Networkscited by 76
  8. 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionscited by 60
  9. 2024A Temporal Kolmogorov-Arnold Transformer for Time Series Forecastingcited by 50
  10. 2024BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networkscited by 43
  11. 2024Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformationcited by 41
  12. 2022Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluationcited by 39
8 more
  1. 2024Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Taskscited by 39
  2. 2024ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLUcited by 32
  3. 2024GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networkscited by 31
  4. 2024rKAN: Rational Kolmogorov-Arnold Networkscited by 31
  5. 2024Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studiescited by 26
  6. 2024Smooth Kolmogorov Arnold networks enabling structural knowledge representationcited by 22
  7. 2024SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Seriescited by 13
  8. 2024A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithmscited by 7

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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025KAN KAN Buff Signed Graph Neural Networks?cited by 0
  2. 2025AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecastingcited by 0