{"total":649,"rows":[{"id":"2406.02918","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","created":"2024-06-05","cited_by_count":179,"area":null},{"id":"2405.06721","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","created":"2024-05-10","cited_by_count":128,"area":null},{"id":"2405.12832","title":"Wav-KAN: Wavelet Kolmogorov-Arnold Networks","created":"2024-05-21","cited_by_count":122,"area":null},{"id":"2405.07200","title":"Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation","created":"2024-05-12","cited_by_count":118,"area":null},{"id":"2408.10205","title":"KAN 2.0: Kolmogorov-Arnold Networks Meet Science","created":"2024-08-19","cited_by_count":118,"area":null},{"id":"2405.08790","title":"Kolmogorov-Arnold Networks (KANs) for Time Series Analysis","created":"2024-05-14","cited_by_count":98,"area":null},{"id":"2410.13228","title":"From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning","created":"2024-10-17","cited_by_count":73,"area":null},{"id":"2405.07344","title":"TKAN: Temporal Kolmogorov-Arnold Networks","created":"2024-05-12","cited_by_count":71,"area":null},{"id":"2406.02496","title":"Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability","created":"2024-06-04","cited_by_count":70,"area":null},{"id":"2411.06078","title":"A Survey on Kolmogorov-Arnold Network","created":"2024-11-09","cited_by_count":68,"area":null},{"id":"2406.07456","title":"fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions","created":"2024-06-11","cited_by_count":64,"area":null},{"id":"2409.10594","title":"Kolmogorov-Arnold Transformer","created":"2024-09-16","cited_by_count":56,"area":null},{"id":"2406.02486","title":"A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting","created":"2024-06-04","cited_by_count":52,"area":null},{"id":"2406.18380","title":"KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning","created":"2024-06-26","cited_by_count":49,"area":null},{"id":"2406.00600","title":"Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing","created":"2024-06-02","cited_by_count":47,"area":null},{"id":"2406.11173","title":"BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks","created":"2024-06-17","cited_by_count":46,"area":null},{"id":"2406.14916","title":"Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks","created":"2024-06-21","cited_by_count":40,"area":null},{"id":"2407.17611","title":"Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks","created":"2024-07-24","cited_by_count":38,"area":null},{"id":"2406.17630","title":"KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search","created":"2024-06-25","cited_by_count":37,"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":"2406.02583","title":"Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials","created":"2024-05-30","cited_by_count":35,"area":null},{"id":"2406.14495","title":"rKAN: Rational Kolmogorov-Arnold Networks","created":"2024-06-20","cited_by_count":35,"area":null},{"id":"2406.19662","title":"Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems","created":"2024-06-28","cited_by_count":35,"area":null},{"id":"2406.07869","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","created":"2024-06-12","cited_by_count":34,"area":null},{"id":"2406.09087","title":"Suitability of KANs for Computer Vision: A preliminary investigation","created":"2024-06-13","cited_by_count":34,"area":null},{"id":"2406.13597","title":"GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks","created":"2024-06-19","cited_by_count":32,"area":null},{"id":"2406.18354","title":"Kolmogorov-Arnold Graph Neural Networks","created":"2024-06-26","cited_by_count":32,"area":null},{"id":"2503.21765","title":"Exploring the Evolution of Physics Cognition in Video Generation: A Survey","created":"2025-03-27","cited_by_count":31,"area":"diffusion"},{"id":"2502.06910","title":"TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting","created":"2025-02-10","cited_by_count":30,"area":null},{"id":"2405.14369","title":"RoPINN: Region Optimized Physics-Informed Neural Networks","created":"2024-05-23","cited_by_count":26,"area":null},{"id":"2409.11884","title":"Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances","created":"2024-09-18","cited_by_count":26,"area":null},{"id":"2406.14529","title":"A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data","created":"2024-06-20","cited_by_count":25,"area":null},{"id":"2407.18373","title":"Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN","created":"2024-07-25","cited_by_count":25,"area":null},{"id":"2405.07488","title":"Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks","created":"2024-05-13","cited_by_count":24,"area":null},{"id":"2503.13165","title":"From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective","created":"2025-03-17","cited_by_count":23,"area":null},{"id":"2505.18738","title":"AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping","created":"2025-05-24","cited_by_count":23,"area":null},{"id":"2405.11318","title":"Smooth Kolmogorov Arnold networks enabling structural knowledge representation","created":"2024-05-18","cited_by_count":22,"area":null},{"id":"2407.17790","title":"Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation","created":"2024-07-25","cited_by_count":22,"area":null},{"id":"2409.04290","title":"CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis","created":"2024-09-06","cited_by_count":22,"area":null},{"id":"2406.15719","title":"How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification","created":"2024-06-22","cited_by_count":20,"area":null},{"id":"2409.01763","title":"FC-KAN: Function Combinations in Kolmogorov-Arnold Networks","created":"2024-09-03","cited_by_count":19,"area":null},{"id":"2410.03782","title":"DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation","created":"2024-10-03","cited_by_count":19,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2510.25781","title":"A Practitioner's Guide to Kolmogorov-Arnold Networks","created":"2025-10-28","cited_by_count":18,"area":null},{"id":"2407.14882","title":"Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise","created":"2024-07-20","cited_by_count":17,"area":null},{"id":"2408.07314","title":"Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis","created":"2024-08-14","cited_by_count":16,"area":null},{"id":"2410.04960","title":"On Efficient Variants of Segment Anything Model: A Survey","created":"2024-10-07","cited_by_count":16,"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":"2410.10084","title":"PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets","created":"2024-10-14","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":"2407.20100","title":"F-KANs: Federated Kolmogorov-Arnold Networks","created":"2024-07-29","cited_by_count":14,"area":null},{"id":"2408.12889","title":"Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey","created":"2024-08-23","cited_by_count":14,"area":null},{"id":"2410.03755","title":"Denoising with a Joint-Embedding Predictive Architecture","created":"2024-10-02","cited_by_count":14,"area":"diffusion"},{"id":"2410.17241","title":"Frontiers in Intelligent Colonoscopy","created":"2024-10-22","cited_by_count":14,"area":null},{"id":"2405.14399","title":"Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2406.17890","title":"SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series","created":"2024-06-25","cited_by_count":13,"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":"2410.02675","title":"FAN: Fourier Analysis Networks","created":"2024-10-03","cited_by_count":13,"area":null},{"id":"2503.10065","title":"Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild","created":"2025-03-13","cited_by_count":13,"area":null},{"id":"2505.10949","title":"FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks","created":"2025-05-16","cited_by_count":12,"area":null},{"id":"2408.13809","title":"On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective","created":"2024-08-25","cited_by_count":11,"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":"2509.03417","title":"Initialization Schemes for Kolmogorov-Arnold Networks: An Empirical Study","created":"2025-09-03","cited_by_count":11,"area":null},{"id":"2406.02875","title":"Leveraging KANs For Enhanced Deep Koopman Operator Discovery","created":"2024-06-05","cited_by_count":10,"area":null},{"id":"2406.09931","title":"SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms","created":"2024-06-14","cited_by_count":10,"area":null},{"id":"2408.04841","title":"Kolmogorov-Arnold Network for Online Reinforcement Learning","created":"2024-08-09","cited_by_count":9,"area":"deeprl"},{"id":"2408.17352","title":"AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge","created":"2024-08-30","cited_by_count":9,"area":null},{"id":"2410.10897","title":"EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials","created":"2024-10-12","cited_by_count":9,"area":null},{"id":"2410.14764","title":"Multifidelity Kolmogorov-Arnold Networks","created":"2024-10-18","cited_by_count":9,"area":null},{"id":"2502.18416","title":"MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification","created":"2025-02-25","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2408.02706","title":"Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability","created":"2024-08-05","cited_by_count":8,"area":null},{"id":"2410.02077","title":"Kolmogorov-Arnold Network Autoencoders","created":"2024-10-02","cited_by_count":8,"area":null},{"id":"2411.14904","title":"Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification","created":"2024-11-22","cited_by_count":8,"area":null},{"id":"2501.12391","title":"Physics of Skill Learning","created":"2025-01-21","cited_by_count":8,"area":null},{"id":"2502.19754","title":"Finding Local Diffusion Schr\\\"odinger Bridge using Kolmogorov-Arnold Network","created":"2025-02-27","cited_by_count":8,"area":"diffusion"},{"id":"2512.05049","title":"QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory","created":"2025-12-04","cited_by_count":8,"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":"2408.07906","title":"KAN versus MLP on Irregular or Noisy Functions","created":"2024-08-15","cited_by_count":7,"area":null},{"id":"2408.08216","title":"The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation","created":"2024-08-15","cited_by_count":7,"area":null},{"id":"2409.13550","title":"A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks","created":"2024-09-20","cited_by_count":7,"area":null},{"id":"2411.15111","title":"Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations","created":"2024-11-22","cited_by_count":7,"area":null},{"id":"2502.04917","title":"Complex Physics-Informed Neural Network","created":"2025-02-07","cited_by_count":7,"area":null},{"id":"2504.15616","title":"SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction","created":"2025-04-22","cited_by_count":7,"area":null},{"id":"2506.19243","title":"High precision PINNs in unbounded domains: application to singularity formulation in PDEs","created":"2025-06-24","cited_by_count":7,"area":null},{"id":"2509.01398","title":"The Need for Verification in AI-Driven Scientific Discovery","created":"2025-09-01","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":"2604.15654","title":"From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark","created":"2026-04-17","cited_by_count":7,"area":null},{"id":"2407.15236","title":"Deep State Space Recurrent Neural Networks for Time Series Forecasting","created":"2024-07-21","cited_by_count":6,"area":null},{"id":"2408.11306","title":"Are KANs Effective for Multivariate Time Series Forecasting?","created":"2024-08-21","cited_by_count":6,"area":null},{"id":"2408.16886","title":"LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation","created":"2024-08-29","cited_by_count":6,"area":null},{"id":"2409.14676","title":"TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation","created":"2024-09-23","cited_by_count":6,"area":null},{"id":"2409.15161","title":"A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts","created":"2024-09-23","cited_by_count":6,"area":"moe"},{"id":"2410.14951","title":"Architectural Scaling Surpass Basis Complexity? Efficient KANs with Single-Parameter Design","created":"2024-10-19","cited_by_count":6,"area":null},{"id":"2502.00803","title":"ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks","created":"2025-02-02","cited_by_count":6,"area":null},{"id":"2504.01093","title":"Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings","created":"2025-04-01","cited_by_count":6,"area":null},{"id":"2507.00951","title":"Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact","created":"2025-07-01","cited_by_count":6,"area":"lr"},{"id":"2511.21622","title":"On the Origin of Algorithmic Progress in AI","created":"2025-11-26","cited_by_count":6,"area":null},{"id":"2512.19927","title":"The Seismic Wavefield Common Task Framework","created":"2025-12-22","cited_by_count":6,"area":null},{"id":"2602.17750","title":"Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models","created":"2026-02-19","cited_by_count":6,"area":null}],"next_cursor":"100"}