{"total":33,"rows":[{"id":"2408.10205","title":"KAN 2.0: Kolmogorov-Arnold Networks Meet Science","created":"2024-08-19","cited_by_count":118,"area":null},{"id":"2411.06078","title":"A Survey on Kolmogorov-Arnold Network","created":"2024-11-09","cited_by_count":68,"area":null},{"id":"2410.01803","title":"On the expressiveness and spectral bias of KANs","created":"2024-10-02","cited_by_count":37,"area":null},{"id":"2407.04149","title":"SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions","created":"2024-07-04","cited_by_count":15,"area":null},{"id":"2407.13044","title":"DropKAN: Regularizing KANs by masking post-activations","created":"2024-07-17","cited_by_count":14,"area":null},{"id":"2409.14248","title":"Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster","created":"2024-08-09","cited_by_count":13,"area":null},{"id":"2410.08026","title":"Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks","created":"2024-10-10","cited_by_count":11,"area":null},{"id":"2407.21176","title":"DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks","created":"2024-07-30","cited_by_count":7,"area":null},{"id":"2509.16825","title":"KANO: Kolmogorov-Arnold Neural Operator","created":"2025-09-20","cited_by_count":7,"area":null},{"id":"2407.20667","title":"Rethinking the Function of Neurons in KANs","created":"2024-07-30","cited_by_count":5,"area":null},{"id":"2502.21130","title":"Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning","created":"2025-02-28","cited_by_count":5,"area":null},{"id":"2509.19830","title":"On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators","created":"2025-09-24","cited_by_count":4,"area":null},{"id":"2409.06649","title":"KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems","created":"2024-09-10","cited_by_count":3,"area":null},{"id":"2503.06112","title":"AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning","created":"2025-03-08","cited_by_count":3,"area":null},{"id":"2504.06559","title":"TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network","created":"2025-04-09","cited_by_count":3,"area":null},{"id":"2408.10263","title":"Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2510.19105","title":"MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2410.04096","title":"Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities","created":"2024-10-05","cited_by_count":1,"area":null},{"id":"2502.06153","title":"Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2410.08041","title":"On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks","created":"2024-10-10","cited_by_count":0,"area":null},{"id":"2501.18199","title":"HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation","created":"2025-01-30","cited_by_count":0,"area":null},{"id":"2502.01247","title":"Polynomial, trigonometric, and tropical activations","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2508.08186","title":"KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning","created":"2025-08-11","cited_by_count":0,"area":null},{"id":"2509.24607","title":"Algorithms and data structures for automatic precision estimation of neural networks","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2602.06737","title":"Optimized Piecewise Affine Abstractions of Neural Networks with Learnable Activation Functions","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.15250","title":"In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2604.16842","title":"Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2607.24730","title":"KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.25876","title":"Evaluating the Effectiveness of SechKAN on 1D Data","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2610.00050","title":"SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2610.05250","title":"Kolmogorov-Arnold Networks for Personal Context Recognition on ExtraSensory","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.06348","title":"IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.17779","title":"Hybrid Parallel Bessel KAN Model: a Kolmogorov Arnold Network: integrated framework for developing a novel architecture to reconstruct the fused-basis approach via a parameter free quadratic interaction","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}