Citing Articles For: Kolmogorov-Arnold Networks Meet Science

Аналіз і попереднє оброблення магнітометричних даних для систем виявлення мін на основі мереж Колмогорова-Арнольда

І. Р. Пелещак and В. Р. Бельтюков

SBUNFU 36 (2026)

Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks

Timur Imankulov, Yerzhan Kenzhebek, Samson Dawit Bekele, and Darkhan Akhmed-Zaki

Results in Engineering 29 108823 (2026)

Enhancing power load forecasting accuracy under high renewable energy penetration with a MSN-KAN framework: A novel approach to mitigate non-stationarity and enhance interpretability

Liye Song, Bao Wang, Yijiangze Liu, and Xinping Song

Results in Engineering 29 109275 (2026)

TDA-DARKNet: A Deep Learning Model Based on Dual-Polarization Radar Data for Tornado Detection

Guoxiu Zhang, Qiangyu Zeng, Fugui Zhang, Hao Wang, and Tiantian Yu

Remote Sensing 18 1124 (2026)

KAN-Enhanced Alignment and Fusion for Lightweight Satellite Video Super-Resolution

Junjie Xiong, Haopeng Zhang, and Zhiguo Jiang

Remote Sensing 18 1598 (2026)

Comparison of Lightweight Deep Neural Networks for Landsat Time-Series Land Use and Land Cover Classification over the Conterminous United States

Zhixin Wang, Giorgos Mountrakis, and Ahmadreza Safaeinia

Remote Sensing 18 1757 (2026)

CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification

Zuzheng Kuang, Shuxin Liu, Haixia Bi, Lijun He, and Fan Li

Remote Sensing 18 330 (2026)

MRKAN: A Multi-Scale Network for Dual-Polarization Radar Multi-Parameter Extrapolation

Junfei Wang, Yonghong Zhang, Linglong Zhu, Qi Liu, Haiyang Lin, Huaqing Peng, and Lei Wu

Remote Sensing 18 372 (2026)

Frequency Domain and Gradient-Spatial Multi-Scale Swin KANsformer for Remote Sensing Scene Classification

Xiaozhang Zhu, Junqing Huang, and Haihui Wang

Remote Sensing 18 517 (2026)

Towards Robust Infrared Ship Detection via Hierarchical Frequency and Spatial Feature Attention

Liqiong Chen, Guangrui Wu, Tong Wu, Zhaobing Qiu, Huanxian Liu, Shu Wang, and Feng Huang

Remote Sensing 18 605 (2026)

FFAKAN: A Frequency-Aware Filtering Activation-Based Kolmogorov-Arnold Network for Hyperspectral Image Classification

Hanlin Feng, Chengcheng Zhong, Zitong Zhang, Yichen Liu, and Qiaoyu Ma

Remote Sensing 18 981 (2026)

A Generative Augmentation and Physics-Informed Network for Interpretable Prediction of Mining-Induced Deformation from InSAR Data

Yuchen Han, Jiajia Yuan, Mingzhi Sun, and Lu Liu

Remote Sensing 18 987 (2026)

Robust reduced-order modeling for shock-dominated compressible flows over a range of parameters

Xiaoxin Yin, Hongwei Tang, Jun Huang, and Feng Liu

Physics of Fluids 38 016103 (2026)

Machine learning-assisted research on the correlation between surface bubbles and slip length

Yaliang Chen, Yutong Ji, and Dayong Li

Physics of Fluids 38 023609 (2026)

Application of interpretable data-driven methods for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions

Haihao Shi, Zhenyang Huang, Qiyu Yan, Junda Zhou, Guoliang Lü, and Xuefei Chen

Physics Letters B 875 140371 (2026)

MiA: A plug-and-play hyperparameter-free Mamba in Attention module for spatial–temporal consistent visual tracking

Yao Chen, Guancheng Jia, Ding Ma, Yufei Zha, and Peng Zhang

Pattern Recognition 180 114033 (2026)

Data-driven nonlinear wave dynamics via Kolmogorov–Arnold networks

Kebing Li, Hong-Kun Zhang, Dingshi Li, and Zhe Pu

Nonlinear Dyn 114 119 (2026)

Robust learning from sparse and noisy data for model discovery of nonlinear systems

Xiong Xiong, Kang Lu, Zheng Zeng, Sheng Zhou, Rongchun Hu, and Zichen Deng

Nonlinear Dyn 114 581 (2026)

Polynomial neural networks for biomedical data: Learnable orthogonal polynomials in image analysis and neural signal interpolation

José Carlos Moreno-Tagle, Jimena Olveres, and Boris Escalante-Ramírez

Neurocomputing 667 132344 (2026)

HKAN: Hierarchical Kolmogorov-Arnold network without backpropagation

Grzegorz Dudek and Tomasz Rodak

Neural Networks 200 108796 (2026)

MonoKAN: Certified monotonic Kolmogorov-Arnold network

Alejandro Polo-Molina, David Alfaya, and Jose Portela

Neural Networks 196 108278 (2026)

asKAN: Active subspace embedded Kolmogorov-Arnold network

Zhiteng Zhou, Zhaoyue Xu, Yi Liu, and Shizhao Wang

Neural Networks 195 108280 (2026)

Interpretation of Crystal Energy Landscapes with Kolmogorov–Arnold Networks

Gen Zu, Ning Mao, Claudia Felser, and Yang Zhang

Nano Lett. 26 5036 (2026)

KAN-YOLO: a nonlinear-enhanced and state space duality-driven YOLO network for robust ship detection in complex maritime scenes

Jingzhu Li, Lintao Xu, Jianbin Jiao, Qimeng Huang, Shunqing Yang, Pupu Wang, and Ao Jiao

Multimedia Systems 32 128 (2026)

A hybrid Kolmogorov-Arnold network for medical image segmentation

Deep Bhattacharyya, Ali Ayub, and A. Ben Hamza

Multimedia Systems 32 200 (2026)

Select page:

Physical Review X

Filter

Articles Citing

Kolmogorov-Arnold Networks Meet Science

Аналіз і попереднє оброблення магнітометричних даних для систем виявлення мін на основі мереж Колмогорова-Арнольда

Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks

Enhancing power load forecasting accuracy under high renewable energy penetration with a MSN-KAN framework: A novel approach to mitigate non-stationarity and enhance interpretability

TDA-DARKNet: A Deep Learning Model Based on Dual-Polarization Radar Data for Tornado Detection

KAN-Enhanced Alignment and Fusion for Lightweight Satellite Video Super-Resolution

Comparison of Lightweight Deep Neural Networks for Landsat Time-Series Land Use and Land Cover Classification over the Conterminous United States

CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification

MRKAN: A Multi-Scale Network for Dual-Polarization Radar Multi-Parameter Extrapolation

Frequency Domain and Gradient-Spatial Multi-Scale Swin KANsformer for Remote Sensing Scene Classification

Towards Robust Infrared Ship Detection via Hierarchical Frequency and Spatial Feature Attention

FFAKAN: A Frequency-Aware Filtering Activation-Based Kolmogorov-Arnold Network for Hyperspectral Image Classification

A Generative Augmentation and Physics-Informed Network for Interpretable Prediction of Mining-Induced Deformation from InSAR Data

Robust reduced-order modeling for shock-dominated compressible flows over a range of parameters

Machine learning-assisted research on the correlation between surface bubbles and slip length

Application of interpretable data-driven methods for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions

MiA: A plug-and-play hyperparameter-free Mamba in Attention module for spatial–temporal consistent visual tracking

Data-driven nonlinear wave dynamics via Kolmogorov–Arnold networks

Robust learning from sparse and noisy data for model discovery of nonlinear systems

Polynomial neural networks for biomedical data: Learnable orthogonal polynomials in image analysis and neural signal interpolation

HKAN: Hierarchical Kolmogorov-Arnold network without backpropagation

MonoKAN: Certified monotonic Kolmogorov-Arnold network

asKAN: Active subspace embedded Kolmogorov-Arnold network

Interpretation of Crystal Energy Landscapes with Kolmogorov–Arnold Networks

KAN-YOLO: a nonlinear-enhanced and state space duality-driven YOLO network for robust ship detection in complex maritime scenes

A hybrid Kolmogorov-Arnold network for medical image segmentation

Filter

Filter

Article Lookup

Enter a citation