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A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)
v1v2v3v4 (latest)

A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)

13 July 2024
Yuntian Hou
Di zhang
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)"

29 / 29 papers shown
PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
Kürşat Tekbıyık
Gunes Karabulut Kurt
Antoine Lesage-Landry
92
0
0
07 Oct 2025
Interpretable Clinical Classification with Kolgomorov-Arnold Networks
Interpretable Clinical Classification with Kolgomorov-Arnold Networks
Alejandro Almodóvar
Patricia A. Apellániz
Alba Garrido
Fernando Fernández-Salvador
Santiago Zazo
J. Parras
181
1
0
20 Sep 2025
Spontaneous Kolmogorov-Arnold Geometry in Shallow MLPs
Spontaneous Kolmogorov-Arnold Geometry in Shallow MLPs
Michael Freedman
Michael Mulligan
66
1
0
15 Sep 2025
Lookup multivariate Kolmogorov-Arnold Networks
Lookup multivariate Kolmogorov-Arnold Networks
Sergey Pozdnyakov
Philippe Schwaller
150
0
0
08 Sep 2025
QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning
QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning
Yinuo Wang
Gavin Tao
134
0
0
26 Aug 2025
Combating Noisy Labels via Dynamic Connection Masking
Combating Noisy Labels via Dynamic Connection Masking
Xinlei Zhang
Fan Liu
Chuanyi Zhang
Fan Cheng
Yuhui Zheng
NoLa
315
1
0
13 Aug 2025
Comparative Evaluation of Kolmogorov-Arnold Autoencoders and Orthogonal Autoencoders for Fault Detection with Varying Training Set Sizes
Comparative Evaluation of Kolmogorov-Arnold Autoencoders and Orthogonal Autoencoders for Fault Detection with Varying Training Set Sizes
Enrique Luna Villagómez
Vladimir Mahalec
74
0
0
04 Aug 2025
KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?
KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?
Lingyu Jiang
Y. X. R. Wang
Yao Su
Shuo Xing
Wenjing Chen
...
Zhengzhong Tu
Ziming Zhang
Fangzhou Lin
Michael R. Zielewski
Kazunori D Yamada
AI4TSKELM
107
1
0
03 Aug 2025
Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
Laura Pituková
Peter Sinčák
László József Kovács
Peng Wang
MedIm
200
0
0
08 Jul 2025
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentJournal of Visual Communication and Image Representation (JVCIR), 2025
Ze Chen
Shaode Yu
184
3
0
27 May 2025
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement
Jonas A. Actor
Graham Harper
Ben Southworth
E. Cyr
240
3
0
23 May 2025
Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation Strategies
Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation Strategies
Yizhou Ma
Zhuoqin Yang
Luis-Daniel Ibáñez
426
2
0
12 May 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
Youngjoon Lee
J. Gong
Joonhyuk Kang
FedML
372
5
0
28 Apr 2025
asKAN: Active Subspace embedded Kolmogorov-Arnold Network
asKAN: Active Subspace embedded Kolmogorov-Arnold Network
Zhiteng Zhou
Zhaoyue Xu
Yi Liu
Shizhao Wang
152
2
0
07 Apr 2025
Geometric Kolmogorov-Arnold Superposition Theorem
Geometric Kolmogorov-Arnold Superposition Theorem
Francesco Alesiani
Takashi Maruyama
Henrik Christiansen
Viktor Zaverkin
363
2
0
23 Feb 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
471
2
0
17 Feb 2025
SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions
SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions
Eric A. F. Reinhardt
P. R. Dinesh
S. Gleyzer
308
28
0
28 Jan 2025
KANs for Computer Vision: An Experimental Study
KANs for Computer Vision: An Experimental Study
Karthik Mohan
Hanxiao Wang
Xiatian Zhu
239
5
0
27 Nov 2024
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap
  Forward
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward
Divesh Basina
Joseph Raj Vishal
Aarya Choudhary
Bharatesh Chakravarthi
294
1
0
15 Nov 2024
A Survey on Kolmogorov-Arnold Network
A Survey on Kolmogorov-Arnold NetworkACM Computing Surveys (ACM CSUR), 2024
Shriyank Somvanshi
Syed Aaqib Javed
Md Monzurul Islam
Diwas Pandit
Subasish Das
AI4TSAI4CE
378
123
0
09 Nov 2024
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Quan Zhou
Changhua Pei
Fei Sun
Jing Han
Zhengwei Gao
Dan Pei
Haiming Zhang
Gaogang Xie
Jianhui Li
AI4TS
718
17
0
01 Nov 2024
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsComputers & graphics (CG), 2024
Ali Kashefi
3DPC
368
25
0
14 Oct 2024
On the Convergence of (Stochastic) Gradient Descent for
  Kolmogorov--Arnold Networks
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks
Yihang Gao
Vincent Y. F. Tan
ODL
157
2
0
10 Oct 2024
Generalization Bounds and Model Complexity for Kolmogorov-Arnold
  Networks
Generalization Bounds and Model Complexity for Kolmogorov-Arnold NetworksInternational Conference on Learning Representations (ICLR), 2024
Xianyang Zhang
Huijuan Zhou
280
5
0
10 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu
Sherry Wu
Jiang Gui
496
9
0
07 Oct 2024
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANsInternational Conference on Learning Representations (ICLR), 2024
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
391
37
0
02 Oct 2024
KAN v.s. MLP for Offline Reinforcement Learning
KAN v.s. MLP for Offline Reinforcement LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Haihong Guo
Fengxin Li
Jiao Li
Hongyan Liu
OffRL
264
1
0
15 Sep 2024
Exploring Kolmogorov-Arnold networks for realistic image sharpness
  assessment
Exploring Kolmogorov-Arnold networks for realistic image sharpness assessmentIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Shaode Yu
Ze Chen
Zhimu Yang
Jiacheng Gu
Bizu Feng
220
8
0
12 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
475
14
0
25 Aug 2024
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