Citing Articles For: Kolmogorov-Arnold Networks Meet Science

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Physical Review X

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

Transformer–Kolmogorov–Arnold network for high-fidelity resistivity reconstruction toward fluid characterization

Advancing Physical Understanding with Interpretable Machine Learning

Spatial-frequency dual-domain Kolmogorov–Arnold networks for multimodal medical image fusion

SS-KAN: Self-supervised Kolmogorov-Arnold networks for limited data remote sensing semantic segmentation

LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior

KKANs: Ku̇rková-Kolmogorov-Arnold networks and their learning dynamics

Online End Deformation Calculation Method for Mill Relining Manipulator Based on Structural Decomposition and Kolmogorov-Arnold Network

TabKAN: Advancing tabular data analysis using Kolmogorov-Arnold Network

Explainable Predictive Maintenance of Marine Engines Using a Hybrid BiLSTM-Attention-Kolmogorov Arnold Network

Subclinical Atrial Fibrillation Prediction in Patients with CIED by a Novel Deep Learning Framework

FiberKAN: Kolmogorov–Arnold Networks for Nonlinear Fiber Optics

Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration

AIMarkerFinder: AI-Assisted Marker Discovery Based on an Integrated Approach of Autoencoders and Kolmogorov–Arnold Networks

NewTalker: Exploring frequency domain for speech‐driven 3D facial animation with Mamba

GTDEKAN: Graph-aware transformer and enhanced Kolmogorov-Arnold Network for microbe-drug association prediction

A Short-Term Photovoltaic Power-Forecasting Model Based on DSC-Chebyshev KAN-iTransformer

An Improved Single-Stage Object Detection Model and Its Application to Oil Seal Defect Detection

Grazing intensity estimation in temperate typical grasslands of Inner Mongolia using machine learning models

Crop sample prediction and early mapping based on historical data: Exploration of an explainable FKAN framework

Interpretable physics-informed graph neural networks for flood forecasting

Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning

UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation

RadioGuide-DCN: A Radiomics-Guided Decorrelated Network for Medical Image Classification

A QEFA-optimized LSTM-KAN hybrid model for dissolved oxygen prediction and control in aquaculture

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