RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis
cs.LG, cs.AI
Submitted: 2026-09-01
Updated: 2026-09-01
Comments: 21 pages , 7 figures
Code: https://github.com/ZiyaoLi/fast-kan
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- KAN: Kolmogorov-Arnold Networks
- KAN 2.0: Kolmogorov-Arnold Networks Meet Science
- Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
- Wav-KAN: Wavelet Kolmogorov-Arnold Networks
- fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
- Recurrence relations for polynomial sequences via Riordan matrices
- Kolmogorov-Arnold Networks are Radial Basis Function Networks
- ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
- Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
- Suitability of KANs for Computer Vision: A preliminary investigation
- A Survey on Kolmogorov-Arnold Network
- On the expressiveness and spectral bias of KANs
- Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability
- Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
- Convolutional Kolmogorov-Arnold Networks
- LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior
- PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks
- U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
- TKAN: Temporal Kolmogorov-Arnold Networks
- GKAN: Graph Kolmogorov-Arnold Networks
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks