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Kolmogorov-Arnold Networks for Personal Context Recognition on ExtraSensory

arXiv 2610.05250 ↗First posted 4 Oct 2026cs.LGcited by 0

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Abstract (arXiv)

Kolmogorov--Arnold Networks (KANs) have attracted increasing attention in recent years, with applications across a wide range of AI tasks. In this paper, we evaluate several KAN variants on the ExtraSensory dataset for personal context recognition and compare them with a multilayer perceptron (MLP) and TabM. We conduct the main experiments using five user folds and three random seeds per fold and report the average Macro-F1, Micro-F1, and training time. We also perform shallow ablation studies on grid size, the number of grids, and data normalization to examine their effects on KAN performance. The results show that all evaluated KAN variants significantly outperform MLP in terms of Macro-F1 and Micro-F1 and achieve performance comparable to TabM. However, KAN variants generally require more training time, while TabM provides a more favorable balance between predictive performance and training efficiency. These results suggest that KANs are promising for personal context recognition, while their computational efficiency remains an important challenge. Our source code is publicly available at: https://github.com/hoangthangta/ExtraSensory-KANs.

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References · 16

  1. 2024KAN: Kolmogorov-Arnold Networkscited by 649
  2. 2024U-KAN Makes Strong Backbone for Medical Image Segmentation and Generationcited by 179
  3. 2024Kolmogorov-Arnold Networks are Radial Basis Function Networkscited by 128
  4. 2024Wav-KAN: Wavelet Kolmogorov-Arnold Networkscited by 122
  5. 2024Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationcited by 118
  6. 2024TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensemblingcited by 113
  7. 2024Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networkscited by 67
  8. 2024fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionscited by 64
  9. 2024A Temporal Kolmogorov-Arnold Transformer for Time Series Forecastingcited by 52
  10. 2024BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networkscited by 46
  11. 2016Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatchescited by 42
  12. 2024rKAN: Rational Kolmogorov-Arnold Networkscited by 35
4 more
  1. 2024ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLUcited by 33
  2. 2024iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasetscited by 16
  3. 2022KASAM: Spline Additive Models for Function Approximationcited by 5
  4. 2026SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functionscited by 2

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