Citing Articles For: Kolmogorov-Arnold Networks Meet Science

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Heuristic Cross-Temporal Reconciliation Approaches Applied to Heterogeneous Models in Photovoltaic Forecasting

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Discovering the Gell-Mann–Okubo formula with Kolmogorov-Arnold networks*

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

Dual-Modal Mixture-of-KAN Network for Lithium-Ion Battery State-of-Health Estimation Using Early Charging Data

A Review of AI Applications in Lithium-Ion Batteries: From State-of-Health Estimations to Prognostics

Vision-based wheel sinkage measurement using artificial neural networks for planetary rover testing

Joint Modeling and KAFusion Feature Fusion for Prosody-Controllable Speech Synthesis

DCN-KUnet: A DCNv3-Based Backbone and KAN Bottleneck for Chromosome Segmentation

TRIDENT: Efficient Small-Large Model Collaboration via Heterogeneous Expert Decoupling

On the Edge-Computing-Oriented Inference of Radial Basis Function-Based Kolmogorov–Arnold Networks

Integrating Deep Neural Networks with Support Vector Machines for Gene Expression Classification

MKE: A Lightweight Framework for Multimodal Knowledge Extraction via Knowledge Distillation

Short-Term Wind Power Prediction with Improved Spatio-Temporal Modeling Accuracy: A Dynamic Graph Convolutional Network Based on Spatio-Temporal Information and KAN Enhancement

Deep Learning-Based Hydrothermal Scheduling Integrating Wind Power and Pumped-Storage Hydropower for Low-Carbon Economic Dispatch

DMDE: An electric peak load forecasting framework based on multi-scale decomposition and cross-scale feature fusion

A Natural Copula

Beetroot type classification based on 3D structure constructed with neural radiance fields

Hybrid Spatio-Temporal Deep Learning Models for Multi-Task Forecasting in Renewable Energy Systems

Deep Reinforcement Learning in the Era of Foundation Models: A Survey

Heuristic Cross-Temporal Reconciliation Approaches Applied to Heterogeneous Models in Photovoltaic Forecasting

Comparing Emerging and Hybrid Quantum–Kolmogorov Architectures for Image Classification

Training deep physics-informed Kolmogorov–Arnold networks

Neural Signed Distance Surrogates for Cut-Cell Finite-Volume Solvers

F-KAN: a novel framework for functional regression based on Kolmogorov–Arnold networks

An explainable artificial intelligence framework enabled by a separable neural architecture

Ocean-Kansformer: A model combining KAN and transformer for ocean forecasting

Solving backward heat transfer by physics-informed machine learning

Discovering the Gell-Mann–Okubo formula with Kolmogorov-Arnold networks*

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