mlsanityData to 14 Oct 2026

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis

arXiv 2405.08790 ↗First posted 14 May 2024eess.SP cs.AI cs.LGcited by 98

Not on the map. Why?

Abstract (arXiv)

This paper introduces a novel application of Kolmogorov-Arnold Networks (KANs) to time series forecasting, leveraging their adaptive activation functions for enhanced predictive modeling. Inspired by the Kolmogorov-Arnold representation theorem, KANs replace traditional linear weights with spline-parametrized univariate functions, allowing them to learn activation patterns dynamically. We demonstrate that KANs outperforms conventional Multi-Layer Perceptrons (MLPs) in a real-world satellite traffic forecasting task, providing more accurate results with considerably fewer number of learnable parameters. We also provide an ablation study of KAN-specific parameters impact on performance. The proposed approach opens new avenues for adaptive forecasting models, emphasizing the potential of KANs as a powerful tool in predictive analytics.

Key facts. Cited by 98 papers in the map (data through 14 Oct 2026). Builds on 8 of its 21 references that are in the map. First posted on arXiv 14 May 2024.

Builds on

8 of 21 references.

References · 8

  1. 2024KAN: Kolmogorov-Arnold Networkscited by 649
  2. 2020Time Series Forecasting With Deep Learning: A Surveycited by 459
  3. 2019Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019cited by 273
  4. 2017Conditional Time Series Forecasting with Convolutional Neural Networkscited by 123
  5. 2020The Kolmogorov-Arnold representation theorem revisitedcited by 89
  6. 2023Scaling MLPs: A Tale of Inductive Biascited by 37
  7. 2023Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stationscited by 18
  8. 2020Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Modelscited by 11

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 50; 2025: 32; 2026: 16.

98 papers.

Sort:

By area:

  1. 2024KAN 2.0: Kolmogorov-Arnold Networks Meet Sciencecited by 118
  2. 2024A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networkscited by 104
  3. 2024Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretabilitycited by 70
  4. 2024A Survey on Kolmogorov-Arnold Networkcited by 68
  5. 2024KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physicscited by 59
  6. 2024A Temporal Kolmogorov-Arnold Transformer for Time Series Forecastingcited by 52
  7. 2024KAGNNs: Kolmogorov-Arnold Networks meet Graph Learningcited by 49
  8. 2024Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensingcited by 47
  9. 2024Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networkscited by 38
  10. 2024KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Searchcited by 37
  11. 2024On the expressiveness and spectral bias of KANscited by 37
  12. 2024rKAN: Rational Kolmogorov-Arnold Networkscited by 35
38 more
  1. 2024Suitability of KANs for Computer Vision: A preliminary investigationcited by 34
  2. 2024ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLUcited by 33
  3. 2024Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementationcited by 22
  4. 2024CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysiscited by 22
  5. 2024FC-KAN: Function Combinations in Kolmogorov-Arnold Networkscited by 19
  6. 2024Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noisecited by 17
  7. 2024DropKAN: Regularizing KANs by masking post-activationscited by 14
  8. 2024F-KANs: Federated Kolmogorov-Arnold Networkscited by 14
  9. 2024SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Seriescited by 13
  10. 2024SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networkscited by 12
  11. 2024On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspectivecited by 11
  12. 2024Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networkscited by 11
  13. 2024Kolmogorov-Arnold Network for Online Reinforcement Learningcited by 9
  14. 2024Multifidelity Kolmogorov-Arnold Networkscited by 9
  15. 2024Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classificationcited by 8
  16. 2025QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memorycited by 8
  17. 2024KAN versus MLP on Irregular or Noisy Functionscited by 7
  18. 2024The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translationcited by 7
  19. 2025Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumerscited by 7
  20. 2024Are KANs Effective for Multivariate Time Series Forecasting?cited by 6
  21. 2024A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Expertscited by 6
  22. 2024HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smartercited by 5
  23. 2024Rethinking the Function of Neurons in KANscited by 5
  24. 2024FourierKAN outperforms MLP on Text Classification Head Fine-tuningcited by 5
  25. 2025Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learningcited by 5
  26. 2026FEKAN: Feature-Enriched Kolmogorov-Arnold Networkscited by 5
  27. 2026LESA: Learnable Stage-Aware Predictors for Diffusion Model Accelerationcited by 5
  28. 2024SpectralKAN: Weighted Activation Distribution Kolmogorov-Arnold Network for Hyperspectral Image Change Detectioncited by 4
  29. 2024KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics examplecited by 4
  30. 2024Incorporating Arbitrary Matrix Group Equivariance into KANscited by 4
  31. 2025Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinementcited by 4
  32. 2025On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimatorscited by 4
  33. 2026KANtize: Exploring Low-bit Quantization of Kolmogorov-Arnold Networks for Efficient Inferencecited by 4
  34. 2026Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learningcited by 4
  35. 2024KAN v.s. MLP for Offline Reinforcement Learningcited by 3
  36. 2024P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimizationcited by 3
  37. 2024HiPPO-KAN: Efficient KAN Model for Time Series Analysiscited by 3
  38. 2024Granger Causality Detection with Kolmogorov-Arnold Networkscited by 3

50 most cited of 98 All 98 (JSON)