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Kolmogorov-Arnold Networks

Papers presenting models which utilize Kolmogorov-Arnold networks as their underlying architecture.

Papers

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Showing 176–200 of 255 papers

TitleStatusHype
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic ModelsCode1
KAN 2.0: Kolmogorov-Arnold Networks Meet ScienceCode11
Detecting the Undetectable: Combining Kolmogorov-Arnold Networks and MLP for AI-Generated Image Detection—0
FourierKAN outperforms MLP on Text Classification Head Fine-tuningCode7
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice—0
Activation Space Selectable Kolmogorov-Arnold Networks—0
KAN versus MLP on Irregular or Noisy Functions—0
The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I TranslationCode1
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust AnalysisCode0
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction—0
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field SegmentationCode1
Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics—0
Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and fasterCode1
Kolmogorov-Arnold Network for Online Reinforcement LearningCode1
From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks—0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Kolmogorov-Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometriesCode1
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example—0
KAN based Autoencoders for Factor Models—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
TASI Lectures on Physics for Machine Learning—0
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks—0
Rethinking the Function of Neurons in KANsCode1
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